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Mathematics for Secondary School Teachers by Elizabeth Bremigan, Ralph Bremigan & John Lorch
Mathematics for Secondary School Teachers discusses topics of central importance in the secondary school mathematics curriculum, including functions, polynomials, trigonometry, exponential and
logarithmic functions, number and operation, and measurement. The authors have written a flexible text, through which instructors can emphasize any of the following: Basics: exploration of key
pre-college topics from intuitive and rigorous points of view; Connections: exploration of relationships among topics, using tools from college-level mathematics; Extensions: exploration of
college-level mathematical topics that have a compelling relationship to pre-college mathematics. Mathematics for Secondary School Teachers provides a balance of discovery learning and direct
instruction. Activities and exercises address the range of learning objectives appropriate for future teachers. Introductory discussion questions encourage prospective teachers to take stock of their
knowledge of pre-college topics. Mathematics for Secondary School Teachers is primarily intended as the text for a bridge or capstone course for pre-service secondary school mathematics teachers. It
can also be used in alternative licensure programs, as a supplement to a mathematics methods course, as the text for a graduate course for in-service teachers, and as a resource and reference for
in-service faculty development.
• Brand name: MAA
• Authors: Elizabeth G. Bremigan
• Ralph Bremigan
• and John Lorch
• ISBN:9780883857731
• 448pp.
• Hardcover
• 2011
• Series: Textbooks
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Intersection Graphs of Jordan Arcs
De Fraysseix, Hubert and Ossona de Mendez, Patrice (1999) Intersection Graphs of Jordan Arcs. [In Collection]
Full text not available from this repository.
A family of Jordan arcs, such that two arcs are nowhere tangent, defines a hypergraph whose vertices are the arcs and whose edges are the intersection points. We shall say that the hypergraph has a
strong intersection representation and, if each intersection point is interior to at most one arc, we shall say that the hypergraph has a strong contact representation. We first characterize those
hypergraphs which have a strong contact representation and deduce some sufficient conditions for a simple planar graph to have a strong intersection representation. Then, using the Four Color
Theorem, we prove that a large class of simple planar graphs have a strong intersection representation.
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IntroductionThe definition of scale and relevant terminologiesNotions of scalesCharacteristics of scalesScale threshold and scale domainScaling and scale effectsMechanism analyses of scale effectsMain causes of scale effectsEffects of scale on the measurements, retrieval models and productsQuantitative descriptions of scale threshold and scale domainGeographic variance method (GVM)Wavelet transform method (WTM)Local variance method (LVM)Semivariogram based method (SVM)Fractals method (FM)Overview of general scaling methodsScaling methods for measurementsThe scaling methods for retrieval modelsThe scaling methods for productsConclusionsReferencesFigure and Tables
The advance of remote sensing technology in the 20th century has provided a powerful means to conduct regional and global measurements. Remote sensing technology can quickly access a wide range of
real-time land surface spatial information and provides an effective way for resource surveys, environmental monitoring and disaster prediction. With the help of remote sensing technology, one can
get geo-information quickly, accurately, efficiently and comprehensively. Undoubtedly, remote sensing will play an increasingly important role in the field of geosciences.
At present, remote sensing technology has entered an era of quantitative analysis. Thus, the important issues – scale effects and scaling – have already become one of the most important research
focuses of remote sensing [1,2]. The scale represents the window of perception [2], the ability of observation, and reflects the limitation of knowledge through which a phenomenon may be viewed or
perceived [1]. Consequently, scale issues should be carefully dealt with in remote sensing [3]. On the one hand, most retrieval models and algorithms are basically derived at small scales, implying
that the land surface is homogeneous. If the models and algorithms are used at large scales, they may produce certain errors [4]. On the other hand, geo-information which is closely related to human
cognition has the concept of regional scale, for example, weather forecasting, environmental monitoring, crop growth and yield estimation, disaster assessment, resource survey and so on. In short,
the description of a process must be expressed at a certain scale. For instance, soil moisture content that is estimated from a small piece of farmland cannot be used as a drought index for
large-scale agricultural drought monitoring. In other words, small scale information cannot be used as a substitute for regional scale information. The discrepancy between observation scale, model
scale and land surface process scale may lead to different conclusions in the processes of monitoring and forecasting. As a result, the scaling of geo-information is inevitable for many disciplines.
Scale effects constrain the accuracy of retrieval and limit the development of remote sensing applications. Consequently, they are becoming emerging problems which attract more and more the attention
of scientists. Firstly, in order to analyze the scale issues of remote sensing, the problems of scale and the importance of scale will be reviewed and discussed.
As we know, research about scale has already permeated various disciplines, such as hydrology [5–7], meteorology [8], ecology [9,10] and geography [1,2,11]. The reasons why we need to transfer
information across scales are simple. The instrument is one of the reasons; different instruments have different instantaneous fields of view that correspond to different spatial resolutions. In
addition, the scale at which the available data has been measured is usually different from the scale required by the models. Again, the scale at which these models operate often varies from model to
model. Furthermore, several factors, such as manpower, finances, time and other resources, constrain the choice of scale. For example, running a general circulation model will take a long time, even
with a high-performance computer. Under the limitation of resources, a larger scale may be preferable. Finally, the scale of model output may not be in coincidence with the policy scale at which the
decision is made. Taking into account these factors, the reason why more attention has been paid to scale issues, is easy to be understood.
Obviously, research is suffering from a severe scale discrepancy between data sources and the models used. Both data interpretation and model application become difficult due to scale issues.
Openshaw [12] proposed the Modifiable Areal Unit Problem (MAUP), which means the results of studies could be different using different areal units and is thought of as the combined output of a scale
problem and an aggregation problem. That is to say, different spatial processes may operate at different scales, and thus conclusions based on one scale may not be applicable to another scale. Again,
spatial patterns are also scale dependent. Spatial patterns may look like a cluster at one scale but random at another [13]. Therefore, remote sensing can be thought of as a particular case of the
MAUP [2]. Model application should be carefully dealt with rather than data interpretation. Retrieval models used in remote sensing are usually developed at a local scale, implying that models are
merely suitable when the medium where the process takes place is homogeneous [4]. If these models are directly applied to a large scale, scale effects may be generated. In addition, the dominant
factors are not the same at different scales, and they may lead to different retrieval models for different scales. Depending upon the observation scale, the process which appears homogeneous at a
local scale may become heterogeneous at a large scale and parameters and factors which are important at one scale may become trivial at another [3,14,15]. For example, in the research on heat-water
exchange, the turbulence flux that can be ignored at the large scale has to be taken into account at the local scale. Furthermore, the action of coupling different types of models makes the problem
more severe. Atmospheric processes often occur at larger spatial scales and smaller temporal scales than hydrological processes [5,16]. How to couple these two types of models is not a simple
question to answer. Without thorough consideration, using data and models at an inappropriate scale could lead to a meaningless conclusion [13].
To scientists, scale is undoubtedly one of the most important bases of research. What we study cannot be disengaged from the scale. Goodchild and Quattrochi [1] pointed out that scale is important
because it not only defines the limits of our observations of Earth, but also is often a parameter in the physical and social processes which shape geographic phenomena. Scale research is also an
important step in the campaign of validation of remote sensing products [17]. As spatial resolution becomes coarser, a scaling method must be developed in order to determine the accuracy of retrieval
products [18]. Furthermore, the scale may determine the reliability of the research. From microscopic and macroscopic scales, we can understand both details and trends. It is helpful to thoroughly
interpret geographic phenomena. In addition, the scale may determine the cost of research because detailed data is generally more expensive to measure, process and analyze. Undoubtedly, the
development of scale research can relate the data measured at different scales and make use of this data effectively. It will solve the problems discussed above and drive the evolution of other
relevant disciplines.
The aim of this paper is to demonstrate scale issues from the points of view of analysis, processing and modeling and to provide technical assistance when facing scale issues in remote sensing. The
next sections will be organized as follows. In Section 2, some basic definitions will be given, as researchers may not seem to have agreed on the meaning of such concepts. They are the basis of
analysis the scale issues. In Section 3, the mechanism of scale effects, which may benefit the scaling model, is briefly discussed. The main causes of scale effects and the scaling effects of the
measurements, retrieval models and products will be reviewed and discussed. These are the key points in resolving scale issues in remote sensing. If the scale effects could be estimated correctly,
the scaling model would become easier. One of the great advantages of remote sensing is its capacity for providing data at multi-scales, which is increasingly used to evaluate the influence of scale
effects for identifying structure or patterns and modeling results. This raises a problem: where is the interval in which the phenomenon or the structures are nearly invariable or slowly variable?
And, what is the validation scope of the retrieval models? In Section 4, the quantitative descriptions of scale threshold (invariance of scale) and scale domain are given. The analysis of scale
threshold and the scale domain is imperative for understanding the dynamics of landscapes. In addition, they can be thought of as the linkage point between heterogeneity and homogeneity, which is
closely related to the scale effects. Demonstrated in Section 5 are a few general scaling approaches, especially the up-scaling method, to characterize the influence of scale. Although the hypotheses
and starting points are not the same, all roads lead to the same end result. These scaling methods can enhance upscaling from one scale to another. Under different circumstances, however, we can
choose different methods.
In the field of scientific research, scale is often one of most involved terminologies. The scale can refer both to the magnitude of a study (e.g., its geographic extent) and also to the degree of
detail (e.g., its level of geographic resolution) [1]. There are several terms that share the same meaning with observation scale that describe the detail, such as resolution, grain, support and so
on. With remote sensing, scale might be resolution and can be thought of as the smallest objects being distinguished by sensors. For ecology, scale is likely to be grain, which is the measured size
of patches. To environmental research, scale could be support, the largest area or time interval in which the parameter of interest is homogeneous [15]. To cartography, scale may be defined simply as
the ratio between distance on the map and on the ground. There is much confusion and abuse concerning the term “scale” and it is necessary to identify the meaning of this word. Lam and Quattrochi
[13] and Cao et al. [3] pointed out that at least four meanings of scale can be identified within the spatial domain. They are the observation scale, the operational scale, the geographic scale and
the cartographic scale. Bloschl and Sivapalan [5] and Bierkens et al. [15] proposed another two meanings of scale: the modeling scale and the policy scale, respectively. From analysis, modeling and
demonstrating perspective, scale needs to be divided into at least such six types. Here are the definitions used by the authors [3,5,13,15] with some modifications combined. Table 1 shows a
comparison of the six meanings of scale used in various fields of scientific research.
Observation scale can be called a “measurement scale”. It depends on the method or the characteristics of the instrument and can be thought of as measurement units (i.e., intervals or areas or
volumes) at which data is measured or sampled. To remote sensing, the measurement scale refers to the description of resolution, time interval, spectral range, solid angle or polarization direction.
As the limitation of data collection and storage capacity, the smaller measurement scale usually corresponds to the smaller geographic scale and vice versa.
Modeling scale is the scale at which the model is built or derived in order to give reliable output. Both the measurement scale and the operational scale may influence the modeling scale.
Observations sampled at a measurement scale are used as input for models, so the measurement scale must coincide with the modeling scale. If the measurement scale is smaller or larger than the
modeling scale, it should be scaled. Again, a model needs to reveal the process; the modeling scale should also coincide with the operational scale. Similarly, it also needs to be scaled.
Operational scale refers to the scale at which a certain process is supposed to operate. It can also be called the “scale of action”. For example, thunderstorms may happen in an area of dozens of
square kilometers. The operational scale of thunderstorms may be dozens of kilometers. It can be defined either as spatial extent (the lifetime), period (cycle) or the correlation length (integral
scale), depending on the nature of the process [5]. Here, if the operational scale is smaller than the modeling scale, the variability lower than the modeling scale may be lost and the process may
not be observed or found.
Geographic scale, which is also called “coverage”, refers to the spatial extent of research. It determines the biological organization level on which the surface property is observed, such as the
leaves (a few centimeters), the canopy (10 to 100 m), the landscape (100 m to a few kilometers) or the region (about 100 km) [19]. A larger geographic scale study involves a larger spatial area, and
a smaller geographic scale study only contains a smaller spatial area. The ratio between geographic scale and measurement scale often determines data volume and constrains storage and processing
Policy scale is the scale at which the decisions are made or the policy is implemented [15]. For example, whether the crop yield of one specific village is reduced or not, may be judged on village
level on the basis of one year. In order to infer a reliable conclusion, the policy scale should be larger than the operational scale.
Cartographic scale is defined simply as the ratio between distance on the map and on the ground. It is often used to represent the spatial distribution of research results. Generally speaking, a
smaller cartographic scale corresponds to a larger geographic scale and may show fewer instances of features or less detail when compared to a larger cartographic scale.
The six meanings of scale described above are mutually related. It is indispensable to determine the desirable scale before investigation. But, how do you select the suitable scale in remote sensing?
Generally speaking, the choice of scale may only depend on the goals of the study if you do not take other factors (i.e., manpower, finance and time) into account. Commonly, the policy scale is
determined first. And then, the operational scale is decided based on the previous knowledge of the research. Due to the fact that the policy scale is selected by the decision-making department and
the operational scale is the natural characteristic of the process, they may have nothing to do with remote sensing. Remote sensing may only be used to provide knowledge to reveal the actual
operational scale. By comparion, the observation scale, modeling scale and geographic scale are more closely related to remote sensing. They are more or less determined by the application of remote
sensing. The smaller observation scale is not always correct. For example, the optimum observation scale for classification in land use and land cover is the scale where the variability within
classes is at its minimum and the variability between classes is at its maximum. On the whole, the geographic scale should be large enough to characterize the image spatial variability or structures.
At the same time, the observation scale and modeling scale should be smaller than the operational scale and be mutually consistent with each other. The result is not reliable when the observation
scale and the modeling scale are totally different. Finally, the cartographic scale is determined to show the results and images which serve for decision-making after the research.
Although “scale” is a widely used term and has different meanings in various disciplines, in general, it can be thought of as having multi-dimensionality, complexity and variability. Firstly, scale
has a multi-dimensional nature [11]. It can be expressed as the variability in space and the expansibility in time [1]. Consequently, the scale is divided into spatial scale and temporal scale,
respectively, based on the different research targets or fields. As the observations of remote sensing are more specialized compared to conventional measurement methods, the scale notion can be
extended to spectral scale, directional scale and polarization scale. The spectral scale expresses the ability to discriminate fine spectral differences and refers to the full width at half maximum
(FWHM) of band. The directional scale describes the angular geometry of the sun–object–sensor system [11]. The polarization scale refers to the polarization direction of the signal. In general, the
spatial and temporal scales are closely related. Then, within a specific discipline, the processes that operate over larger temporal scales may also operate over larger spatial scales due to the
transport mechanisms between space and time [1]. Bloschl and Sivapalan [5] demonstrated a scheme to classify hydrological processes according to typical space and time scales. Skoien et al. [20] used
the ratio of spatial scale and temporal scale to discriminate the different processes in a space-time coordinate system. In reality, all sensors boarded on spacecrafts are a kind of “hand-made”
equipment. The spatial resolution, the bandwidth and the spectral response function are not the same. The difference between sensors must be analyzed first. That is to say, both spatial and spectral
scaling is necessary when comparing the retrieval products of different sensors. Even if the resolutions of the sensors are close to each other, i.e., MODIS and AVHRR, spectral scaling is needed.
Such a point of view may improve our understanding of scale effects.
Secondly, scale has complex hierarchies. It is the reflection of the level of the organization of nature, which results in the research targets varying with scales. For example, small-scale
hydrological studies may mainly focus on the scale of vegetation and soil; meso-scale studies may focus on the response of the hydrology unit to the changes of land surface; while large-scale studies
may be mainly about the interaction of the atmosphere and the land surface. These phenomena and processes occurring at different scales may interact with each other, consequently, many regional or
global changes, such as pollution, the greenhouse effect and biodiversity may be rooted in local scale or small-scale environmental problems. Similarly, large-scale changes (such as global climate
change and ocean circulation anomalies), in turn, will influence small-scale phenomena and processes. This shows that both large-scale and small-scale studies are equally important. Large-scale
describes the abstract features or macro-structure, and small-scale characterizes the details. On the one hand, we can understand the macro-changes and the general trend through large-scale studies;
on the other hand, we may find the mechanism of the development of the process and give reasonable explanations through small-scale studies.
Finally, scale may also have variability, that is, the targets at different scales will show different characteristics. The isothermal surface would become non-isothermal. The spectral curve of
emissivity may become smoother when the spectral scale is coarser. It has increased the difficulty of scale analysis.
With the development of scale research, scientists have found that the dominant factors which affect the processes change with the scale. Marceau and Hay [2] pointed out that the degree of
explanation in the variation of normalized difference vegetation index (NDVI) varies with the scale. The variation of NDVI is mainly affected by the local scale topographic orientation when the
resolution is finer, which shows the effect of solar radiation on vegetation in terrain areas. When resolution decreases, the elevation gradually becomes the dominant factor to describe the
distribution of vegetation [2,14]. Based on these facts, scientists have proposed the concept of scale domain and scale threshold. The scale domain can be considered as the interval in which the
phenomenon or the structures are nearly invariable or slowly variable, while they may change dramatically in a different scale domain that is separated by the scale threshold. The understanding of
these concepts would benefit the analysis of the processes. In the same scale domain, scaling may be easier as the dominant factors of the processes are the same or similar. However, scaling may
become more complex across scale domain due to different dominant factors. Therefore, one of the focuses of scale research is to determine the scale domain and the scale threshold [2].
Apart from the concept of scale, we have to pay attention to the terms, “scaling” and “scale effects”. Scaling, is just defined as transferring information across scales [16]. When one speaks of
scaling, one must distinguish between two cases: up-scaling and down-scaling. Up-scaling is a process that transfers information from local scale to large scale. It concerns the extraction of global
parameters from local measurements and has been much more studied [4]. On the contrary, down-scaling is to go from large scale to local scale. In general, up-scaling and down-scaling may also be
called aggregation and disaggregation, respectively [18]. Scale effects refer to the contrast of information or the different characteristics at different scales. For example, the production of
farmland estimated from TM and AVHRR are significantly different. The difference varies with the region and lacks regularity. It is mainly due to the dependence on the scale. How to select the
appropriate scaling method and determine scale effects will be clearly analyzed next.
In order to analyze the mechanism of scale effects, firstly, we need to abstract the retrieval process from reality, which is concluded as follows: products = f ( measurements )where measurements
refer to the physical quantity measured by remote sensing; f refers to the retrieval model that is used to estimate products from measurements; products are the characteristic parameters of land
surface, such as biophysical (e.g., leaf area index, fraction of photosynthetically active radiation absorbed by vegetation) or geophysical variables (e.g., albedo, emissivity). The measurements,
retrieval model and products may not be the same at different scales. So they can be considered as scale-dependent. The relationships are demonstrated in Figure 1.
Here, r[n] or < R >, f or F and p[n] or < P > represent the measurements, retrieval models and products at the local or large scale, respectively. Apparently, if the retrieval models at both local
scale and large scale are available, there is no scale effect yet. The products retrieved by remote sensing can be estimated by the corresponding models. However, only retrieval models at a local
scale are usually proposed, as they can be easily validated in the laboratory or the testing field. Generally, the retrieval model may not be the same for different scales as the dominant factors or
stated variables are variable at different scales. For example, both Lowtran and Modtran are radiative transfer models, however, they are only suitable for the low spectral scale and the moderate
spectral scale, respectively. In such a situation, the scaling for the retrieval model is necessary. The first task of scale research in remote sensing is to determine the validation scope of
retrieval models. Based on physical analysis, the retrieval models are simplified or re-parameterized to adapt to the new scale. If we do not scale retrieval models and only adopt the same form at
different scales, there are two other alternative methods to compensate for the scale effects: the scaling of measurements and the scaling of products. If we assume the retrieval models are the same
at any scale, there are two ways to estimate measurements or retrieve products at a large scale. One is to aggregate measurements and products directly using local scale data, thereby producing
average measurements < R >[2] and distributed products < P >[1]. The other is to use < R >[2] and < P >[1] through the retrieval model and the inverse model to generate the corresponding ones,
thereby producing lumped products < P >[2] and equivalent measurements < R >[1]. It is difficult to determine which are best. We can only select the appropriate one by real situations. For example,
the goal of scaling for leaf area index (LAI) is to make the values derived from coarse resolution sensor data equal to the arithmetic average of values derived independently from fine resolution
sensor data [21]. If the retrieval model is proposed at local scale and the products estimated are associated with the unit area, such as LAI, < P >[1] may be more suitable because it follows the law
of conservation of matter. Otherwise, < P >[2] may be more advisable. The product of temperature is an example. Here is the other thing we need to pay more attention to. The aggregation may not be
area-weighted, the aggregation of radiance in a heterogeneous terrain region should consider both the area and the local slope angle effects [22]. Besides, not all the aggregation is scientifically
reasonable. As the aggregation of temperature follows neither the law of conservation of energy nor the law of conservation of matter, consequently, it may not make sense. The discrepancy between < R
>[1] and < R >[2], and < P >[1] and < P >[2] may be the focus of scale research. From the discussion above, the research on scale effects and scaling in remote sensing should begin around the points
of view of measurements, retrieval models and products.
The main causes of scale effects can be summed up in three main reasons from the perspective of analysis, processing and modeling.
The first reason is the limitation of measurement. Any measurement equipment has its own scale representation. It can only reflect the specific information within the scope of observation. An
infrared radiometer at ground level can merely represent the temperature at the scale of points; however, the Large Aperture Scintillometer (LAS) can reflect the exchange of energy at the scale of a
region. Zhang et al. [23] have shown that the criterion for judging whether the surface temperature is isothermal or not may only be dependent on the spatial scale or the spectral scale through
experimental verification. Along with the change of scale, the isothermal surface could become non-isothermal.
The second reason is the scale applicability of the retrieval models. The retrieval models do not explicitly express the characteristics of scale; however, they may be suitable for homogeneous
surface or point measurements [4]. Chehbouni et al. [24] pointed out that it is not appropriate to use relationships between model and observational variables developed and calibrated at a local
scale for application at a larger scale just by scaling the parameters. As a result, they need to be simplified or re-parameterized to adapt to the new circumstances since the driving force or
mechanism may be totally different at various scales. It is difficult to imagine that models at the scale of leaves are still applicable to the scale of canopy. Consequently, the models or algorithms
proposed at one scale would be neither effective, nor similar, or need to be revised at any other scale. Therefore, the first step of scale research is to investigate the impact of scale on the
mechanism of physical models and algorithms. At present, the scale applicability of Lambert’s assumption [25], Beer’s law [26], Helmholtz’s reciprocity principle [27], and Planck’s Law [28,29] have
already been discussed at the pixel scale in remote sensing applications. The results showed that we need to carefully consider the scale’s applicability for retrieval models when using them at
different scales.
The third reason is the heterogeneity of land surface and the characteristics of linearity or nonlinearity of the retrieval models. These two factors affect the scale effects together. If the
measurements are homogeneous, it would not cause scale effects no matter whether the retrieval models are linear or not. The heterogeneity could be thought of as the inherent nature of land surfaces,
which are a mosaic of different cover types. In other words, heterogeneity would be considered as the surface properties vary over the observed scene [19]. When observing through sensors, it may be
very heterogeneous, especially in the case of coarser spatial resolution sensors. As the resolution decreases, the possibility that one pixel contains more than one cover type would increase.
Therefore, heterogeneity is the most fundamental characteristic of all landscapes [30]. If land surface measurements or media properties vary in observation unit (space), it can be thought of as
heterogeneity [5]. The surface heterogeneity is often of great concern when deriving surface parameters using remotely sensed data [31]. Here, the heterogeneity may be caused either by the change of
density or the discontinuity that means the contrast change between cover types. The scale effects due to density change are usually smaller and can be negligible [31, 32]. On the whole, the term
heterogeneity is a relative concept. The homogeneous canopy may still cause the heterogeneity of temperature due to the shade. In order to limit the influence of heterogeneity on the description of
land surface processes, Garrigues et al. [19] suggested two strategies. One is to quantify the intra-pixel spatial heterogeneity. The other is to define the proper pixel size to capture the
variability of data and minimize the intra-pixel variability. Besides the heterogeneity of the land surface, the characteristics of linearity or nonlinearity of the retrieval models is the other
factor. We cannot arbitrarily draw the conclusion that the linear retrieval models would not cause a scale effect or that the nonlinear retrieval models would cause a scale effect. The linear
retrieval models could also incur scale effects when the retrieval models for different cover types are quite different [31]. The nonlinear retrieval models may also cause no scale effects when the
medium is homogeneous, which has been successfully demonstrated by the Taylor series expansion [33,34]. Chen [31] suggested that nonlinear algorithms applied to pixels mixed with different land cover
types may be the major cause of scaling errors. Considerable scale effects may be expected for mixed pixels where the mixture is unknown, as radiative signals from different cover types can be very
different for the same measurements [32]. Generally speaking, the linear retrieval models may cause smaller scale effects than nonlinear ones in such a situation [31].
The mechanism analyses of scale issues undoubtedly involve several questions. The first one is what the main causes of scale issues are in remote sensing, which has already been analyzed above. The
following one is what the effects of scale on the measurements, models and products are.
With measurements, what we are more concerned about may be the mean, variance and correlation lengths. Bloschl et al. [5] and Western et al. [35] have already demonstrated the effect of the
measurement scale on the apparent variance and the apparent integral scale (apparent correlation length). Here, the “apparent” means the statistical properties that appear in the data. The apparent
variance decreases with increasing resolution, while the apparent correlation length, the average distance (or time) over which a property is correlated, always increases with increasing resolution.
To the retrieval models, the effects of scale may be difficult to analyze. We may select suitable models at the corresponding scale; for example, the radiative transfer model of vegetation at the
leaf scale [36] or canopy scale [37]. Whether the change of scale has an effect on the retrieval model is dependent on the status of the measurements and the form of the retrieval model. In the case
of three-dimensional structures, the retrieval models may need to be remodeled. Smolander and Stenberg [38] used a clumping index to correct the radiation attenuation coefficient at a shoot scale and
proposed the forest reflectance models for coniferous forests. In the case of big-leaf assumptions, if measurements are homogeneous, the scale has no effects on the retrieval model no matter if the
model is linear or non-linear. If the measurements are heterogeneous, there is a scale effect on the retrieval model. There is only no effect when the retrieval model is linear and does not vary with
the land cover types, which means the model has a uniform form. Otherwise, the retrieval model may need to be simplified or re-parameterized. Raffy [4] proposed a spatialisation model to overcome the
scale effects by using the lower and upper bounds of the retrieval model. Tian et al. [21] addressed the problem of how the scale, or spatial resolution of reflectance measurements impacts retrievals
of LAI and developed a physically radiative transfer formulation with explicit spatial resolution dependents.
To the products, the effects of scale have already been widely discussed. There is conflicting conclusions in the literature as to whether products are scale dependent or scale free. The main reason
is that the scaling effects are usually dependent on the real application. If the retrieval model that is used is linear, there may be no scale effects, yet when the retrieval model has a uniform
form for all the land covers, for example, if simply mapping the reflected solar radiation to the surface albedo, we can argue that the reflected solar radiation parameterization is scale invariant.
Otherwise, the nonlinearity of albedo with topography and spectral dependence of albedo and the reflected solar radiation would be scale dependent. This demonstrates that a different parameterization
and different assumptions related to the retrieval model can lead to different conclusions for the same physical process [39]. Raffy [4] used a convex hull to judge whether products are overestimated
or not. The concave retrieval model overestimates the arithmetic average of values derived independently from fine resolution, while the convex retrieval model underestimates them. Garrigues et al.
[34] pointed out that the magnitude of scaling effects increases rapidly with pixel size until the size is larger than the typical length scale of data for the univariate retrieval model. For the
bivariate transfer function, the scaling effects are the combined effects of several components, which may add up or compensate for each other. The effects of scale on specific products are
theoretically and practically analyzed. We may resort to relevant literature, such as bidirectional reflectance distribution function (BRDF) and albedo [40], the temperature [22], the emissivity
[23], the infrared radiation and the reflected solar radiation from the surface [39], the latent, sensible and ground heat fluxes [16,39,41–44], carbon flux [45,46], soil moisture [47–50], NDVI and
vegetation fraction [51,52], LAI [17,31,33,34,53,54], net primary production (NPP) and gross primary productivity (GPP) [55–57], directional gap fraction [58].
After discussing on the main causes of scale issues and the effects of scale on the measurements, models and products, the analysis of scale threshold and scale domain becomes an another critical
problem waiting to be resolved. It is the basis of understanding scale issues. At present, one great advantage of remote sensing is the capacity to provide data at various resolutions. It may become
easier to identify the scale thresholds below by identifying which biophysical or geophysical variables are spatially dependent and whether they become less dependent or independent. Here, we may
take the scale domain as the appropriate scale for a given geographical environment. The relevant knowledge of scale threshold and scale domain may benefit the understanding of the validation scope
of the retrieval model, dynamics of landscapes. In the following, several representative methods will be presented. Although these approaches may not necessarily apply to all cases, they in fact
provide effective ways to cope with the problems.
Moellering and Tobler [59] proposed the geographic variance method to analyze the scaling effects of geographic phenomena. Geographic variance analysis, which is a hierarchical analysis, can
determine the relative variability and independent contribution at each level in a nested hierarchy. Most spatial data can be constructed to a nested hierarchy by a simple aggregation approach, and
then the geographic variance method can be applied [30]. According to this theory, the total variability can be divided using the sum of squares at each level, while most geographical phenomena may
occur at the level where the level variability is the highest. In other words, the operational scale of a phenomenon coincides with the scale of maximum variability in the data. Wu et al. [30] argued
that the geographic variance method may be a potentially powerful method to detect and describe multi-scale structures of landscapes. However, Cao and Lam [3] thought its validity remains unclear and
more analysis is needed. In consequence, this method needs to be further investigated systematically in remote sensing.
The wavelet transform method, which is a relatively new mathematical technique, has already been widely used in various disciplines. It uses a localized function in time or space. The wavelet’s size
can be adjusted and shifted to analyze a data set. Thus, we can investigate features of interest in the data set at an appropriate scale, for example, broad features at a large scale and fine
features at a small scale. With the help of the wavelet transform method, we can find where changes in a data set take place and simultaneously measure how large these changes are. Percival [60]
suggested that the wavelet variance calculated by the wavelet transform method is a natural tool to investigate the spatial scales of variability in remote sensing data. It can be used as an
indicator to quantify the length scale of land surface. Through the analysis of simulating images, the hypothesis is confirmed that the dominant length scales in the landscape may correspond to the
scale with the highest wavelet variance [16]. The best wavelet to identify length scales is the Haar wavelet. The results indicate that the wavelet transform method is also a suitable tool to analyze
the heterogeneity of land surface and infer the optimum scale under which the main variability presented in the image may be lost. Apparently, GVM and WTM are different methods. One starts from the
space domain, while the other starts from the frequency domain. However, these two methods will produce the same conclusion through several data simulations. It may be due to the fact that the
cumulative variance and covariance are equal to the variance and covariance within the specific scale in the case of the Haar wavelet. Wavelet analysis would be a good tool to study multi-scale
relationships of spatial pattern and heterogeneity [10]. However, the manner of WTM is also dependent on the mother wavelet. WTM’s potential for using other wavelets, such as Daubechies, Coiflet and
so no, needs to be further explored.
In order to choose an appropriate scale for a particular application, Woodcock and Strahler [61] proposed the local variance method, which is related to the relationship between the size of objects
in a scene and the spatial resolution of sensors. The local variance uses the standard deviation as an indicator to reflect the mean value of the standard deviation of a moving window over the entire
image. According to the graphs of local variance as a function of scale, the spatial structure of an image can be measured. The reasons are very simple. When the spatial resolution is considerably
finer than the size of objects in the scene, most of the measurements in the image will be highly correlated with their neighbors and the local variance would be low. As the size of spatial
resolution increases, it may approximate the size of objects, then the likelihood of neighbors being similar decreases and the values tend to be different from each other. It thus causes the local
variance to increase. If the size of spatial resolution increases further, it would be greater than the size of the object, and the possibility of one single pixel containing many objects increases,
then the local variance gradually starts decreasing. Therefore, the peak would appear when the size of spatial resolution matches the size of the objects. Multiple high local variance peaks may show
that the scene has multiple scales of variation. For example, the local variance as a function of resolution for agricultural areas, may indicate two distinct scales of high variance, one related to
the size of individual crop rows, and the other related to the size of the field [61]. With the help of analysis of local variance, the scale where the geographic phenomenon may occur can be found,
and then the observational scale of study can be determined. Here, the local variance looks like the texture analysis in digital image processing [3]. The only difference is that the texture analysis
method can use several indices, such as moments, min-max, entropy, and so on. The local variance method tries to find the “scale of action”, however, there are certain limitations involved in the
usage, which are acknowledged by the authors. One limitation is that it is unrealistic to assume an idealized square wave on the part of the sensor and the pixel value of a coarse resolution image is
simply an average of finer resolution pixels within corresponding coarse pixels. The other limitation is that it is dependent on the global variance in the image and the values of local variance
cannot be directly compared between different images. Therefore, the relevant improvements should be made around these limitations.
The semivariogram is often used as a tool to measure the difference in property values at two sample locations as a function of the distance between these locations. It provides the mean
characteristics of spatial heterogeneity at the image scale. There are three features to characterize the semivariogram: nugget, sill and range. These features can be used to characterize and
quantify the spatial heterogeneity of a land surface [19]. The nugget is the discontinuity of the semivariogram at the origin. It can be used to judge if uncorrelated noise (measurement error) exists
or spatial structures are smaller than the pixel size. The sill is the value that the semivariogram may reach when the distance heads toward infinity. It can be an indicator of the spatial
variability of the data. The range is the distance at which it reaches a sill. It can be used to characterize the image spatial structures. Artan et al. [62] used the semivariogram and the
characteristic length calculated from the spatial autocorrelation to determine the scale of variability of the remotely sensed data. In order to account for the multiple length scales of data,
Wackernagel [63] and Garrigues et al. [19] proposed a linear combination of elementary variogram models to model the semivariogram. Then, the structural parameters of the semivariogram model can be
generalized into a single parameter: the integral range (A). Here, its square root D[c] is a weighted average of several range parameters and quantifies the mean length scale of data. Based on
Shannon’s theorem, the spatial sampling frequency must be larger than 2/D[c], therefore, the pixel size must be smaller than D[c]/2 to retain the major part of spatial variability. Here, either A or
D[c] can be used to judge whether the geographical scale is large enough to detect the length scales of the landscape. In addition, the rate of data regularization can be used to characterize the
rate of the loss of image spatial variability at a given spatial resolution. Tarnavsky et al. [52] applied variogram modeling to evaluate the difference in spatial variability at different scales and
characterize the impact of scale. Based on the analysis, an approach for selecting the spatial resolution is proposed. Subsequently, Garrigues et al. [64] proposed to use multivariate, red and near
infrared spectral properties to quantify the landscape spatial heterogeneity by direct and cross-variograms modeled together with the geostatistical linear model of co-regionalization. The result
showed it to be more powerful than univaritate variogram modeling.
The term “fractals”, first proposed by Mandelbrot [65], is now widely used in different science domains, such as biology, physics, chemistry, geography and so on. The reason why fractals attract more
and more attention is that the real world is too regular to be measured or simulated by traditional methods [13]. Many curves or surfaces in the world may be statistically made up of copies of itself
at a reduced scale. This statistical self-similar property is the key point to understanding the concept of fractals. In classical geometry, the dimension of a point is zero, a line is 1, a plane is
2, and a cube is 3. While, in fractal geometry, the fractal dimension D of an object can be any non-integer dimension [66]. For example, the fractal dimension of a curve can be any value between 1
and 2. The fractal dimension of a surface can be any value between 2 and 3. Empirical studies indicate that true fractals with strict self-similarity do not exist. However, the information that
fractal dimensions provide with scale can be used to indicate the optimum measurement scale. There are many ways to determine fractal dimensions. Xia and Clarke [67] introduced several frequently
used definitions of fractal dimension, which could be used to find the process scale. The turning points of fractal dimension may contain some important information. For example, they should be those
where new patterns may emerge or resolutions approach dominant operational scales. Generally speaking, the more irregular an object, the bigger the fractal dimension. The fractal dimension of an
image is expected to be lower as the resolution becomes coarser due to coarser resolution corresponding to lower variability and vice versa. Therefore, the scale at which the highest fractal
dimension is measured may be the scale at which most processes operate [13]. Although no agreement has been reached on the definition of fractal dimension, it is a promising research direction. Table
2 summarizes the advantages and disadvantages of the above mentioned methods.
In order to solve scaling problems and compensate for scaling effects, several authors have already developed some frameworks. These frameworks provide a few systematic approaches to characterize the
influence of scale on the measurements, retrieval models and products. In order to better understand these approaches, we classify them into three main categories which will be briefly summarized
Scaling methods for measurements are easier to deal with because the measurements recorded by remote sensors usually capture the radiance emitted or reflected by the surface. In such cases, the
Area-Weighted Scaling Methods (AWM) may be applicable in a flat region. Otherwise, the influence of slope angle should be taken into account [22]. These methods were all developed on the basis of the
law of conservation of energy or matter. If the retrieval models at both local and large scale are known in priori, the scaling methods mentioned above would work well. However, if the retrieval
model at one scale, either local scale or large scale is known, the retrieval model derived from one scale cannot be guaranteed to be used at the other scale. Therefore, AWM alone is insufficient;
correction items to the area-weighted measurements need to be added in order to scale products correctly. This process could be thought of as finding the representative measurements corresponding to
a large scale. The aim of these methods is to get the scale invariant result at large scale when the local scale retrieval model is used. Bierkens et al. [15] proposed a scaling method, Finding
Representative Parameters Method (FRPM), and gave an example of finding the representative conductivity for blocks in a numerical model of groundwater flow. Through the comparison of model output at
both local scale and large scale, the representative conductivity can be thought of as the sum of two items. One is the arithmetic block average of parameters. Another is the block covariance of
parameters. Through numerical analysis and comparison, we may give the analytical solution to the representative measurements in remote sensing. Then, the correction items may be the combined effects
of the nonlinearity of the retrieval model and the heterogeneity of measurements.
Generally speaking, we may only know the retrieval model at a specific scale. That is to say, we need to scale the retrieval models to the other scales through the appropriate assumptions and
simplifications in order to not only consider the scaling effects but also provide scale invariant algorithms. Raffy [4] proposed a general method, the Computational Geometry Method (CGM), to reduce
the scaling effects introduced by the heterogeneity of measurements and the nonlinearity of a retrieval model at a local scale. The method takes advantage of the convex hull of computational geometry
to determine the interval where the distributed result may exist. Considering all possible distributions of measurements, the distributed result always falls into the interval of the lower and upper
bounds of the retrieval model which measures the maximum error due to the scaling. Here, the bounding functions can be interpreted as a measure for the non-linearity of the model [16]. Subsequently,
Raffy and Gregoire [68] used such a concept combined with a least square method to determine the coefficients of the semi-empirical model that is validated at a small scale and upscale the model to
the large scale with global radiances. If there is not more information available other than the domains of measurements and the retrieval model at the local scale, one can expect to reduce the
scaling effects by employing the model spatialization method, which is the function of the convex and concave function of the retrieval model at a local scale. Garrigues et al. [34] argued that the
assumption that the retrieval model follows a uniform distribution in the interval between the convex and concave function is inappropriate within a moderate resolution pixel. This may be one of the
reasons limiting the application of the spatialization model. For the specific retrieval model, a more specific scaling method would be used, the Physical Scaling Method (PSM) based on the radiative
transfer theory. Tian et al. [21] developed this method with an explicit spatial resolution dependent in order to upscale LAI retrieved from AVHRR data to the coarser resolutions. Malenovsky et al.
[11] discussed PSM and gave examples of the radiative transfer scaling in a Norway spruce forest stand.
Compared to the scaling methods of measurements and retrieval models, the scaling methods for products are more widely studied in research. These scaling methods provide a few systematic approaches
to characterize the land surface heterogeneity and compensate for scaling effects. Here, we just emphasize the spatial domain. Other scaling methods applied in different domains can be realized by
certain approaches. For example, scaling in the temporal domain may consider the general diurnal patterns of meteorological variables [69] or assume that the evaporative fraction (EF) is constant
throughout the day [70]. Scaling in the spectral domain and the directional domain would rely on experimental regression or look-up tables (LUT) to solve the scale problem, respectively. Since land
surface is very heterogeneous, up-scaling is probably more important than downscaling in product validation. Therefore, we may be more concerned about the up-scaling method. The downscaling method
resorts to relevant literature [18]. In general, the simple up-scaling method can use statistical algorithms to estimate the spatial means at a large scale by either area-weighted products of
homogeneous patches or the integration over the probability density function of products [42]. In the following, other extensively used scaling methods in the spatial domain, such as Empirical
Regression Method (ERM), Taylor Series Expansion Method (TSEM), Contextural Parameters Method (CPM), Statistical Fractal and Self-similar Method (SFSM) will be analyzed in detail.
ERM is simply used to empirically calibrate the relationship of products between fine and coarse scales [71–73]. The goal is to relate the products at different scales by regression. Fernandes et al.
[53] simply used empirical relationships between spectral vegetation indices and surface estimations of LAI, which are in-situ measurements from the auxiliary sites, to estimate coarse-scale LAI.
Martinez et al. [74] used a multivariate ordinary least squares (OLS) algorithm which uses an iteratively re-weighted least squares (IRLS) algorithm to build an empirical relationship and upscale the
field LAI data to the corresponding satellite products. Although the scaling method is simple, the relationship of regression is usually site, time, model and scale dependent. If any one factor is
changed, the relationship may need to be recalibrated. Consequently, it would gradually be replaced by other scaling methods.
TSEM is based on Taylor’s theorem of linearizing the retrieval model around the arithmetic average of measurements [16,33,34]. It characterizes the scaling effects as the combined effects of degree
of non-linearity of the model and the heterogeneity of the land surface. The key to using this method is to know how to estimate the variance and covariance within the pixel at coarse resolution. Hu
and Islam [33] proposed a novel method based only on the mean values of measurements at pixel scale to parameterize the variance and covariance terms by the half ellipse relationship between the
normalized standard deviation of radiance and the normalized average radiance over the pixel. They used this relationship to study the effects of subgrid scale heterogeneity of soil wetness and
temperature on grid-scale evaporation [75]. Garrigues et al. [34] used the local dispersion variance and covariance which are calculated by semivariogram and cross semivariogram from concurrent high
spatial resolution images or a spatial sampling per type of landscape of the high spatial resolution data to quantify the spatial variability within the moderate resolution pixel. Afterwards,
Garrigues et al. [76] proposed a spatio-temporal model of the variogram to estimate the intra-pixel spatial heterogeneity. It is a novel approach to predict the variogram at a date at which the high
spatial resolution scene is not available by the seasonal cycle of phenological variability. Although its validity is argued by Chen [31], it is still useful for product scaling. In conclusion, the
method is easy to understand and operate. If the intra-pixel spatial heterogeneity can be successfully represented, it can give reasonable results. The disadvantage of TSEM is that it must satisfy
some hypotheses. The model needs to be continuous and have at least up to second order continuous derivatives in the interval under consideration. If the model has strong non-linearity, the
approximation would not be appropriate. When using complicated models with a large number of variables, it would be difficult to find the derivatives of the model [16]. Again, failure to include high
order terms or interactive terms (covariance) may limit the application of this technique.
Generally, the variance and covariance within one pixel are important for the traditional textural parameters that can capture the spatial variability of the surface. However, they are difficult to
be estimated due to the fact that the concurrencies of high and low resolution images are often not available. In addition, they may not be used to discriminate the situations where the surface
heterogeneity can be caused either by the cover type changes or by density change within the same cover type. If the surface heterogeneity is caused by cover type changes, the linear models which
have different forms for different cover types may also cause scale effects. In contrast, if the surface heterogeneity is caused only by density change, the non-linearity of the model would generally
cause very small scale effects [31, 32]. In short, TSEM would be useless when the model is discontinuous or piecewise against the measurements. In order to break through the limitations of using
textural parameters, Chen [31] proposed a different scheme, CPM. It took the contextural parameters (e.g., the fractions of subcomponents) as a bridge to quantify the scaling effects. Simic et al.
[55] tried to use such subpixel information to upscale NPP. The result showed that the correlation between the distributed NPP and lumped NPP was greatly improved. El Maayar and Chen [44] thought the
scale effects resulted from the overlooking of sub-pixel variability of land surface characteristics and proposed a simple algorithm that used contextural parameters of vegetation, soil cover, and
surface topography to correct evapotranspiration (ET) estimates. Jin et al. [54] developed such algorithms to remove the biases in lumped LAI maps using sub-pixel land cover-type information and
correct coarse resolution products of LAI. Here the fractions can be estimated either by the sub-pixel land cover masks at high resolutions or the linear unmixing method. Braswell et al. [77] used
the Bayesian-regularized artificial neural network with combined MODIS-MISR data to estimate sub-pixel land cover fractions and yielded a quantitative improvement result over spectral linear unmixing
of single-angle, multispectral data. The result is promising. However, contexture-based methods are usually model-dependent. They cannot provide a general method to compensate for scaling effects.
The mapping function needs to be redefined when the model is changed. When the model has several variables, the mapping functions become very hard to be derived. Therefore, contexture-based methods
are not alternatives to texture-based methods. They are new attempts to solve scaling effects. In practice, we need to choose the corresponding scaling methods according to actual requirements.
SFSM is based on the simple scaling and multiscaling characteristics of products. Dubayah et al. [78] have found the log-log linearity relationship between the statistical moment and the scale
factor, and the non-linear dependence of scaling exponents with order moment. That is to say, the statistical properties (moments) of process can be extended from one scale to the other scale. Hu et
al. [47] analyzed the statistical characterization of soil moisture retrieved from remotely sensed passive microwaves. They found these properties and suggested a deviation from simple scaling and
the possible presence of multiscaling [49,79]. Das and Mohanty [50] argued that the scaling exponent of soil moisture during dry-down suggests a transition from simple scaling (in wet fields) to
multiscaling (in dry fields) behavior. However, the fluctuation parts of soil moisture, which is decomposed by wavelet transforms, showed a simple scaling characteristic which implied the possibility
of scaling soil moisture. In addition to soil moisture, other products also behave with self-similarity characteristics, such as NDVI and radiometric temperature [80]. Based on the multiple moments
scaling law, the wish of scaling between different scales without other prior knowledge may be realized.
Table 3 summarizes the general scaling methods discussed above. Besides these methods, we can use other methods for scaling the products, such as disaggregation-aggregation combined methods[81],
process simulation methods [9] and so on. Again, additional information provided by optical and thermal sensors can be used as auxiliary knowledge to assist the scaling. Kustas [82] utilized such
information and proposed the DisTrad technique to estimate subpixel variation of surface temperature. On the whole, scaling methods for products have already become a universally recognized problem.
Its development needs the development of cross-disciplines in order to achieve theoretical and technical innovation.
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Distributed Parameter Systems
Research Directions in Distributed Parameter Systems
Ralph C. Smith and Michael Demetriou, Eds., Research Directions in Distributed Parameter Systems, SIAM Frontiers in Applied Mathematics, Philadelphia, PA, 271 pages.
Table of Contents:
• 1. Mathematics and Electromagnetic Theory, R. Albanese, R. Medina and J. Penn
• 2. Nonlinear Distributed Parameter Control Systems with Non-Normal Linearizations: Applications and Approximations, J.A. Burns
• 3. Homogenization and Applications to Material Science, D. Cioranescu
• 4. Model Reduction for Control Design for Distributed Parameter Systems, R.F. Curtain
• 5. Max-Plus Linear Partial Differential Equations, W.H. Fleming
• 6. Geometric Theory of Output Regulation for Linear Distributed Parameter Systems, C.I. Byrnes, D.S. Gilliam and V.I. Shubov
• 7. Smart Structures, Structural Health Monitoring and Crack Detection, D.J. Inman and S.H.S. Carneiro
• 8. Survey of Research in Modeling the Human Respiratory and Cardiovascular Systems, F. Kappel and J.J. Batzel
• 9. Inverse Problems Related to Electromagnetic Nondestructive Evaluation, F. Kojima
• 10. Some Suboptimal Strategies for Numerical Realization of Large-Scale Optimal Control Problems, K. Kunisch
• 11. Results and Conjectures for the Control of Navier--Stokes Equations, J.L. Lions
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Francesca Morroni
Rationalism in its generic sense refers to any field that appeals to reason to define behaviors and beliefs. In general, the rationalist philosophers argue that, starting from basic principles,
intuitively or experimentally identified, we can get the rest of knowledge using a deductive process. A significant example is the golden section, that is that part of a segment which is the
proportional average between the whole segment and the remain part of it:
1: a = a: b
1: a = a: (1-a) -> (1-a) = a 2 -> 0.618...
Even the mathematician Fibonacci studied the golden section: among the numbers of his succession
there is a relationship for which the ratio of two successive terms approaches very quickly to 0.61.
The project, developed at a Design Laboratory during the first year of Msc in Interior Design
in collaboration with Sara Commodi and Chiara Mariotti, is based on rationalist theorems and
laws through the construction of lines that recall the golden section.
Starting from these considerations, we defined the height of the two mezzanines in 3,82 m from
the ground and we designed a concrete panel in the middle of the square (the cube figure was the
basis on which to build the project), creating an angle of 60°. This panel welcomes clients inside
leading them to the bar, in front of the entrance.
As the protagonist, the panel marks the internal space and creates two areas: a more open one
on the right and a more intimate one on the left. The inclined panel is cut five times vertically
to allow the flow across the area, creating four sections which follow the Fibonacci sequence.
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The use of ensembles in dataassimilation and adaptive observations
Brian Etherton
Pennsylvania State University
Observations from the standard global observing network, such as weather balloons, satellite observations, and surface reports, are incorporated into forecast models through data assimilation. Data
assimilation combines information in observations with information in a first guess field to produce a new analysis. In addition to the resources in the standard observing network, supplemental
observations can be used to help generate a new analysis for a forecast model. Suppose the three-day forecast for the west coast of the United States was for heavy rain. Observations might be taken
upstream from the Pacific coastline to help improve that forecast. Finding the particular location for observations that minimize forecast error variance depends on estimating the error variance in
the analysis field, and then propagating this error variance forward in time to predict a forecast error variance, and then see how additional observations can reduce this error variance.
The ensemble transform Kalman filter (ET KF) can be used to make a prediction of the impact of these observations. By using ensemble members to produce the error statistics for the first guess field,
this analysis error variance can be propagated into the future by using the same ensemble members valid at a later time to represent the uncertainty of the future forecast. If the ET KF could be
statistically corrected to make a quantitatively accurate prediction of the forecast improvement, the decision whether or not to take extra observations could be subject to a cost benefit analysis.
Not only would the optimal location be known, but whether or not the improvement would be great enough to justify the cost of taking the observations would be known.
Experiments are done using a hybrid ensemble Kalman filter / 3D-var data assimilation scheme on a doubly periodic barotropic vorticity model. For each day of a 99-day simulation, an increment to the
first guess is made using the hybrid to produce a new analysis. For each analysis cycle, the ET KF is used to predict the optimal location for taking two additional observations. The ET KF also
predicts the expected reduction in global vorticity error from those two supplemental observations. This of the reduction in error variance is then compared to the actual impact the observations
made. Having formed a statistical correlation, the ET KF then compared to the actual reduction in error. This comparison will show if the ET KF can be used to predict not only the impact of
observations on a forecast, but the resulting improvement from those observations on a forecast.
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Articles on moving object from point A to point B?
I am messing around with an icon i placed on the screen. I have it starting at the exact middle of the screen, and what I want it to do is when I place my finger on a certain location, it will travel
to that spot and stop.
This was my thought process going into this...
We have the starting position, (origX, origY)
We have the destination, (destX, destY)
And we have the offset, will get added onto the objects position on each loop through, (xOff, yOff)
What I did with these two is as follows
calculate the gap between the two X's and the two Y's
gapX = Math.abs(origX - destX);
gapY = MAth.abs(origY - destY);
If (gapX > gapY){
xOff = 1;
yOff = gapY / gapX;
xOff = gapX / gapY;
yOff = 1
And then finally I am just checking if the offsets need to be negative and multiplying times -1 if needbe.
This kinda works. What I would like from anyone here is possible some links to some articles on doing things like this. I am assuming there is a better way than what I have attempted. Any help would
be appreciated, thank you for your time.
Re: Articles on moving object from point A to point B?
You'll definitely want to move to time based animation so that iterative distances are constant based on a time differential otherwise stuttering may occur or different devices may perform
differently with variance between each rendered frame. You can add smoothing, so the icon accelerates and decelerates as it starts / approaches it's destination; a quick and useful approach is using
Math.log1p() to create an accel / decel feedback loop. Feedback loops in general give an interesting way to make it look more natural in determining direction. An article on feedback loops for
control systems is in this old version of Game Developers Magazine:
Founder & Principal Architect; EGR Software LLC
Re: Articles on moving object from point A to point B?
Thanks for the timely response. I see it wants to charge me 3 dollars to read that issue however o_O
I will just look into feedback loops and time based animation.
Thanks again!
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1. The velocity of an object is the rate of change of its position. As a basis for understanding this concept:
a. Students know position is defined in relation to some choice of a standard reference point and a set of reference directions.
b. Students know that average speed is the total distance traveled divided by the total time elapsed and that the speed of an object along the path traveled can vary.
c. Students know how to solve problems involving distance, time, and average speed.
d. Students know the velocity of an object must be described by specifying both the direction and the speed of the object.
e. Students know changes in velocity may be due to changes in speed, direction, or both.
f. Students know how to interpret graphs of position versus time and graphs of speed versus time for motion in a single direction.
2. Unbalanced forces cause changes in velocity. As a basis for understanding this concept:
a. Students know a force has both direction and magnitude.
b. Students know when an object is subject to two or more forces at once, the result is the cumulative effect of all the forces.
c. Students know when the forces on an object are balanced, the motion of the object does not change.
d. Students know how to identify separately the two or more forces that are acting on a single static object, including gravity, elastic forces due to tension or compression in matter, and
e. Students know that when the forces on an object are unbalanced, the object will change its velocity (that is, it will speed up, slow down, or change direction).
f. Students know the greater the mass of an object, the more force is needed to achieve the same rate of change in motion.
g. Students know the role of gravity in forming and maintaining the shapes of planets, stars and the solar system.
Structure of Matter
3. Each of the more than 100 elements of matter has distinct properties and a distinct atomic structure. As a basis for understanding this concept:
a. Students know the structure of the atom and know it is composed of protons, neutrons, and electrons.
b. Students know that compounds are formed by combining two or more different elements, and that compounds have properties that are different from their constituent elements.
c. Students know atoms and molecules form solids by building up repeating patterns, such as the crystal structure of NaCl or long-chain polymers.
d. Students know the states of matter (solid, liquid, gas) depend on molecular motion.
e. Students know that in solids the atoms are closely locked in position and can only vibrate; in liquids the atoms and molecules are more loosely connected and can collide with and move past one
another; and in gases the atoms and molecules are free to move independently, colliding frequently.
f. Students know how to use the periodic table to identify elements in simple compounds.
Earth in the Solar System (Earth Science)
4. The structure and composition of the universe can be learned from studying stars and galaxies and their evolution. As a basis for understanding this concept:
a. Students know galaxies are clusters of billions of stars and may have different shapes.
b. Students know that the Sun is one of many stars in the Milky Way galaxy and that stars may differ in size, temperature, and color.
c. Students know how to use astronomical units and light years as measures of distances between the Sun, stars, and Earth.
d. Students know that stars are the source of light for all bright objects in outer space and that the Moon and planets shine by reflected sunlight, not by their own light.
e. Students know the appearance, general composition, relative position and size, and motion of objects in the solar system, including planets, planetary satellites, comets, and asteroids.
5. Chemical reactions are processes in which atoms are rearranged into different combinations of molecules. As a basis for understanding this concept:
a. Students know reactant atoms and molecules interact to form products with different chemical properties.
b. Students know the idea of atoms explains the conservation of matter: In chemical reactions the number of atoms stays the same no matter how they are arranged, so their total mass stays the
c. Students know chemical reactions usually liberate heat or absorb heat.
d. Students know physical processes include freezing and boiling, in which a material changes form with no chemical reaction.
e. Students know how to determine whether a solution is acidic, basic, or neutral.
Chemistry of Living Systems (Life Science)
6. Principles of chemistry underlie the functioning of biological systems. As a basis for understanding this concept:
a. Students know that carbon, because of its ability to combine in many ways with itself and other elements, has a central role in the chemistry of living organisms.
b. Students know that living organisms are made of molecules consisting largely of carbon, hydrogen, nitrogen, oxygen, phosphorus, and sulfur.
c. Students know that living organisms have many different kinds of molecules, including small ones, such as water and salt, and very large ones, such as carbohydrates, fats, proteins, and DNA.
Periodic Table
7. The organization of the periodic table is based on the properties of the elements and reflects the structure of atoms. As a basis for understanding this concept:
a. Students know how to identify regions corresponding to metals, nonmetals, and inert gases.
b. Students know each element has a specific number of protons in the nucleus (the atomic number) and each isotope of the element has a different but specific number of neutrons in the nucleus..
c. Students know substances can be classified by their properties, including their melting temperature, density, hardness, and thermal and electrical conductivity.
Density and Buoyancy
8. All objects experience a buoyant force when immersed in a fluid. As a basis for understanding this concept:
a. Students know density is mass per unit volume.
b. Students know how to calculate the density of substances (regular and irregular solids and liquids) from measurements of mass and volume.
c. Students know the buoyant force on an object in a fluid is an upward force equal to the weight of the fluid the object has displaced.
d. Students know how to predict whether an object will float or sink.
Investigation and Experimentation
9. Scientific progress is made by asking meaningful questions and conducting careful investigations. As a basis for understanding this concept and addressing the content in the other three strands,
students should develop their own questions and perform investigations. Students will:
a. Plan and conduct a scientific investigation to test a hypothesis.
b. Evaluate the accuracy and reproducibility of data.
c. Distinguish between variable and controlled parameters in a test.
d. Recognize the slope of the linear graph as the constant in the relationship y=kx and apply this principle in interpreting graphs constructed from data.
e. Construct appropriate graphs from data and develop quantitative statements about the relationships between variables.
f. Apply simple mathematical relationships to determine a missing quantity in a mathematic expression, given the two remaining terms (including speed = distance/time, density = mass/volume,
force = pressure x area, volume=area x height).
g. Distinguish between linear and non-linear relationships on a graph of data.
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How do I find the median of numbers in linear time using heaps?
up vote 40 down vote favorite
Wikipedia says:
Selection algorithms: Finding the min, max, both the min and max, median, or even the k-th largest element can be done in linear time using heaps.
All it says is that it can be done, and not how.
Can you give me some start on how this can be done using heaps?
algorithm heap time-complexity median
3 I think it may be wrong about the median and k-th largest, but I would be very happy to be proved wrong about this, especially for the median. – Paul R Apr 5 '10 at 18:01
2 Duplicate: stackoverflow.com/questions/810657/… – Jacob Apr 5 '10 at 18:08
3 Not a duplicate. (I think, but could be wrong) this is not about selection algorithms, but about getting median to be O(1) time, after the heaps are created. – Aryabhatta Apr 5 '10 at 18:10
@Paul R: if the heap is sorted, don't you just have to traverse the tree in post-order for k items to get the k-th largest? – ANeves Apr 5 '10 at 18:14
@Jacob: this is not a duplicate of that question. In the other question, he had a very specific number of elements from which he's getting the median. In this question, there's no given number of
elements, and the set can be of arbitrary size. The algorithm in the other question may be the same answer, but the question isn't the same. – mmr Apr 5 '10 at 18:36
show 1 more comment
7 Answers
active oldest votes
You would use a min-max-median heap to find the min, max and median in constant time (and take linear time to build the heap). You can use order-statistics trees to find the kth
smallest/largest value. Both of these data structures are described in this paper on min-max heaps [pdf link]. Min-max heaps are binary heaps that alternate between min-heaps and
From the paper: A min-max-median heap is a binary heap with the following properties:
1) The median of all elements is located at the root
2) The left subtree of the root is a min-max heap Hl of size ceiling[((n-1)/2)] containing elements less than or equal to the median. The right subtree is a max-min heap Hr of size
up vote 17 floor[((n-1)/2)] containing only elements greater than or equal to the median.
down vote
accepted The paper goes on to explain how to build such a heap.
Edit: Upon reading the paper more thoroughly it appears as though building the min-max-median heaps requires that you first find the median (FTA: "Find the median of all n elements
using any one of the known linear-time algorithms"). That said, once you have built the heap you can maintain the median simply by maintaining the balance between the min-max heap on
the left and the max-min heap on the right. DeleteMedian replaces the root with either the min of the max-min heap or the max of the min-max heap (whichever maintains the balance).
So if you plan on using a min-max-median heap to find the median of a fixed data set you're SOL but if you are using it on a changing data set it is possible.
Actually, both heaps can be either min-max or max-min and the algorithm would still work with the same overall complexity – dhruvbird Apr 23 '11 at 14:37
add comment
My runnable Java implementation of the selection algorithm, which selects the Kth smallest element of an given array in guaranteed linear time.
up vote 1 down https://github.com/zouzhile/interview/blob/master/src/com/interview/algorithms/array/KthElementSelection.java
It changes order of given array. Input: { 2, 3, 5, 1, 9, 10, -22}. Output: { 2, 3, 5, 1, 9, 10, -22} – rafalmag Nov 9 '12 at 21:44
Yeah, the classic guaranteed linear select will rummage through the array switching things around a pivot. That's expected behavior. – Trevor Alexander Nov 27 '13 at 8:16
Quick selection is another algorithm that is more approachable than median of median, at least to me. However, it also switches elements just like quick sort (which is in-place
sorting) – Robin Zou Mar 7 at 1:34
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perhaps it wasnt around when the original question was asked, but now wiki has a link to the source, and here it is: http://ftp.cs.purdue.edu/research/technical_reports/1991/
specifically, go to page 17, and look at the description of RSEL4. They prove in theorem 3.2 that the time complexity of this k-th selection algorithm is O(k). so it would take you O
up vote 2 down (n) to build the heap, and an extra O(k) to find k-th smallest item.
its not really as straight forward as some of the other answers have suggested
add comment
if you know more about heap data structure, you will easily understand that that s actually the case. heap structure can be built in O(n) time, there is min heap and max heap. min heap root
element will give you the smallest element. max heap root element will give you the max element. Just by building the heap you find the min and max. same idea for median and kth largest,
up vote 0 while building your heap, you can find the median and kth largest by looking at left or right branch of the tree and by keeping a constant amount of memory to store the element number. etc.
down vote
@user177883: how will you build a heap so that the root is the median? – Lazer Apr 9 '10 at 6:40
add comment
Obviously, min and max in O(n) is easy and don't require a heap.
K'th largest can be done fairly simply by maintaining a k-sized heap of the top k values so far. Runtime would be O(n*logk). You could call that linear time if k is fixed size and k << n.
I don't think median is possible though. Just creating an O(n) sized heap requires O(n*logn) time.
Edit: Ok, after thinking about this a bit more, IVlad is right. You can create a heap in O(n), for a fixed size. But... that doesn't help the OP with his Median question. The linear heap
up vote 0 creation technique only produces a valid heap as its final output. The simple approach of doing n inserts, resulting in a valid heap after each step is O(n*logn).
down vote
It seems to me that using heaps to find the median would require the use of those running sub-heaps. For instance, there was an answer posted here (that seems to be deleted now) that linked
to a blog post suggesting an algorithm for this problem. It tracked the running median using two heaps (the smaller half and the larger half) as it does a single pass through the data. That
would require the slower, naive heap approach becuase it depends on maintaining valid heaps as it inserts and removes from them.
Is there some other way to find the median using the linear one-shot heap creation technique?
"Just creating an O(n) sized heap requires O(n *logn) time" - wrong, you can create a heap in O(N) time. – IVlad Apr 5 '10 at 18:14
@IVlad - You can create a heap for already-sorted data in O(n) time, and you can create a fixed-size heap in O(n) time, but I don't see either of those preconditions in the quesion. –
Jeffrey L Whitledge Apr 5 '10 at 18:35
If the data is already sorted, then you don't need a heap to find the median, or any of the other objectives in the OP. – Alan Apr 5 '10 at 18:41
1 @Jeffrey L Whitledge - you can create a heap for unsorted data in O(n) time as well. A sorted set of data is already a heap, so creating a heap out of that is O(1) actually. I'm pretty
sure the question refers to a fixed-sized input, "selection algorithm" implies that. – IVlad Apr 5 '10 at 18:53
If the question refers to a "fixed-size input", then the expression "linear time" is meaningless. By "fixed-size heap" I meant one that may be used to find, say, the 10th largest element
1 of an unsorted set. An algorithm to find the m-th largest or smallest value would be O(n), where n is the input size and m is a fixed number intrensic to the algorithm. If m is allowed
to vary as part of the input, then heap-manipulation is no longer constant time, but becomes O(n log m). – Jeffrey L Whitledge Apr 5 '10 at 19:04
add comment
There are likely better algorithms out there, but here's how I'd do it:
Have two buckets and a value. The value is the median, the two buckets are "bigger than median" and "smaller than median". For each element x in the array, rebalance the buckets such that
up vote big_bucket and small_bucket differ by no more than 1 in their size. When moving items from the big bucket to the small bucket they first must pass through the median value to get there (that
3 down is, a difference of 2 will successfully push an element from one bucket to the next - a difference of 1 will push an element from one bucket to the median value.) At the end of your first
vote pass through the array the value should be your median.
@fbrereto: What would be the time complexity of your algorithm? I think this algorithm is NOT linear. – Lazer Apr 5 '10 at 18:15
It'd be one pass through the original array, and the bucket operations would be push/pop, which can be done in constant time (as their size is known to be no more than N/2+1), so off the
top of my head I suspect it can be done in O(N). Please correct me if I've missed something. – fbrereto Apr 5 '10 at 20:08
Hrm... one would have to keep the buckets sorted, which is not an O(N) operation (mod a radix sort). – fbrereto Apr 5 '10 at 20:11
@fbrereto: store minbucket and maxbucket each as heaps. It's basically the same concept as the other solutions. Not sure if the explicit middle element makes much difference. – smci Aug 26
'12 at 9:36
add comment
See this wikipedia page on selection algorithms. In particular, look at the BFPRT algorithm and the Median of Medians algorithm. BFPRT is probabilistically linear, and is modelled on
quicksort; Median of Medians is guaranteed linear, but has a large constant factor and so might take longer in practice, depending on the size of your dataset.
up vote 4
down vote If you only have a few hundred or thousand elements from which to select the median, I suspect that a simple quicksort followed by direct indexing is easiest.
2 @Dale Hagglund: "using heaps"? – Lazer Apr 5 '10 at 18:12
2 "linear" is incompatible with "using heaps" unless you're throwing in the pre-processing cost for free. However, I should have made that clear at the beginning of my post. – Dale
Hagglund Apr 5 '10 at 18:25
Is it really that hard to apply the heap concept to partitions and pivots? – tloflin Apr 5 '10 at 18:39
@tlofin: sorry, but I'm not sure what you're asking. – Dale Hagglund Apr 5 '10 at 19:28
Sorry, I was replying to eSKay. Guess I need to start using these "@"s. – tloflin Apr 5 '10 at 20:52
add comment
Not the answer you're looking for? Browse other questions tagged algorithm heap time-complexity median or ask your own question.
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Atomic structure and bonding > Atomic structure > The quantum mechanical model > The location of the electron
In the quantum mechanical model of the hydrogen atom, the location of the electron is expressed in terms of a probability distribution, so one speaks of the probability that an electron will be found
at a particular location near a nucleus. The probability distribution, in turn, is determined by a mathematical function known as a wavefunction, denoted y. Wavefunctions for the distribution of
particles are a general feature of quantum mechanics, and for electrons in atoms they are known as atomic orbitals. The name orbital is intended to express a distribution that is less precise than
the explicit orbits of the Bohr model. The probability of finding an electron at a specified location is proportional to the square of the amplitude of the wavefunction at that point. Hence, the sign
(positive or negative) of the orbital is not relevant to the location of the electron, because taking the square of y eliminates any negative sign it may have. However, as explained below in The
quantum mechanics of bonding: Molecular orbital theory, the sign is of crucial importance in the discussion of bonding between atoms and so cannot be ignored.
Contents of this article:
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[Numpy-discussion] calculating the mean and variance of a large float vector
Bruce Southey bsouthey@gmail....
Fri Jun 6 09:16:32 CDT 2008
Bruce Southey wrote:
> Alan McIntyre wrote:
>> On Thu, Jun 5, 2008 at 10:16 PM, Keith Goodman <kwgoodman@gmail.com>
>> wrote:
>>> How can that lead to instability? If the last half-million values are
>>> small then they won't have a big impact on the mean even if they are
>>> ignored. The variance is a mean too (of the squares), so it should be
>>> stable too. Or am I, once again, missing the point?
>> No, I just didn't think about it long enough, and I shouldn't have
>> tried to make an example off the cuff. ;) After thinking about it
>> again, I think some loss of accuracy is probably the worst that can
>> happen.
>> _______________________________________________
>> Numpy-discussion mailing list
>> Numpy-discussion@scipy.org
>> http://projects.scipy.org/mailman/listinfo/numpy-discussion
> Any problems are going to mainly due to the distribution of numbers
> especially if there are very small numbers and very large numbers.
> This is mitigated by numerical precision and algorithm - my guess is
> that it will take a rather extreme case to cause you any problems.
> Python and NumPy are already using high numerical precision (may
> depend on architecture) and NumPy defines 32-bit, 64-bit and 128-bit
> precision if you want to go higher (or lower). This means that
> calculations are rather insensitive to numbers used so typically there
> is no reason for any concern (ignoring the old Pentium FDIV bug,
> http://en.wikipedia.org/wiki/Pentium_FDIV_bug ).
> The second issue is the algorithm where you need to balance
> performance with precision. For simple calculations:
> http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance
> Bruce
I forgot to add:
import numpy
x = 1e305 * numpy.ones(10000000, np.float128)
type(x[0]) # gives <type 'numpy.float128'>
x.mean() # gives 1.000000000000036542e+305
More information about the Numpy-discussion mailing list
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The Vatican Astronomer
The Vatican Astronomer
On Monday, February 25, Br Guy Consolmagno, SJ, PhD will give the Ignatius of Loyola Lecture at 4:00 p.m. at the Crown Center Auditorium. Brother Consolmagno is a research astronomer and physicist at
the Vatican Observatory.
This is an occasion to give some thought to the deep connections between mathematics, astronomy, and religion (and the Catholic Church in particular).
For ancient history, the scholarly life intertwined astronomy, religion, philosophy, and mathematics. “Motions of the heavenly bodies” was part of the public conscious as is today our focus on when
is the next holiday. Spherical geometry was one of the most powerful and seminal developments in mathematics – more so than Euclidean geometry of the plane!
The great historian of mathematics, Neugebauer, showed how the ancient “Babylonian” tablets were astronomical calculations. See his The Exact Sciences in Antiquity.
Ptolemy’s star catalog was actually composed of the spherical coordinates of the stars, and his table of chords was a preface to the Almagest, which modeled the motions of the stars, moon, and
planets in the night sky. ISBN-13: 978-0691002606.
And the Chinese (Needham, Science and Civilisation in China), and the Indian cultures valued knowledge of the heavens and mathematics as part of the path to truth.
For Christianity, the study of the heavens has been a priority. In particular, church scholars, religious courts, stewards of the church, and orders invested their time, emotion, patronage, and
scholarship to master their understanding of the celestial world that God created and to codify an accurate calendar for observance of the moveable feasts. See the photo of the
It is only recently, that “Mathematics” and “Astronomy” have been cousins; until 1900 they were sisters. Note a few of the efforts of our great thinkers:
• Archimedes’ The Sand Reckonner modeled the universe while developing a telescoping system of ordinals
• Clavius and Pope Gregory settled on the appropriate algorithm reconciling the solar calendar. Gauss refined the perpetual calendar. In fact, Gauss’ motivation for the “Gauss map” to measure
curvature of surfaces came from looking up at the heavenly sphere. Of course the Gaussian gravitational constant is studied by high school physics students today.
• Today is the 540^th anniversary of the birth of Nicolaus Copernicus. See the scholarly article in The Catholic Encyclopedia that brings out his connections with the Church as well as Ptolemy,
Galileo, etc. http://www.newadvent.org/cathen/04352b.htm
• Albert Einstein’s theory of General Relativity creates the curved geometry of space-as a model for gravitation etc.
• And for a nice break from platitudes, check out this video on Von Neumann http://www.youtube.com/watch?v=UzvvnqfiCLs .
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Inter-Rater Reliability
Sample Size Determination
Posted: Monday, June 28, 2010
I have received several e-mails from researchers asking me how the sample size should be determined to ensure the validity of their inter-rater reliability results. In many instances, researchers
worry about the validity of their Kappa coefficient. The sample size in this context represents the number of subjects who will participate in the inter-rater reliability experiment. I did not
discuss this problem in the second edition of my book "Handbook of Inter-Rater Reliability," but will certainly include it in subsequent editions. The following issues must be considered before
deciding about the best course of action:
1) The notion of validity must be clarified. While the "true" interrater reliability coefficient is based on the entire population of subjects, its estimated value (generally used in practice) is
obtained from a sample. Should be considered as valid, any estimated inter-rater reliability coefficient that differs from its "true" value by no more than 20% of the "true" value. The use of 20% is
arbitrary, and could be changed by the researcher. However, decreasing it will result in an increase in sample size.
2) The second issue to consider is that the number of subjects required depends on the specific inter-rater reliability coefficient one decides to use. The number of subjects required for Cohen's
Kappa is different from that required for Brennan-Prediger's coefficient or Gwet's a).
3) In addition to the number of subjects, it may be interest in some applications to determine the number of raters that should score the subjects. This will be the case when only some of the raters
the researcher is interested in, can be invited to participate in the study ; an issue that is extensively discussed by Gwet (2008b). This situation will only be treated in a subsequent post. In the
current post, we will confine ourselves to the situation where the number of raters is known and fixed. Only the number of subjects must be calculated.
I propose one possible solution to this sample size problem below. Interessted readers may want to look at the article by Alan B. Cantor (1996) as well for further discussions on this issue.
For all kappa-like agreement coefficients, the required number of subjects denoted as n depends on the relative error r and the difference
the chance-agreement probability
and N the number of subjects in the entire population. Equation (1) is based on the variance formulas associated with various kappa-like statistics discussed in Gwet (2008a). With a sample size
obtained using equation (1), the difference between the calculated coefficient (denoted as b and its "true" value will not exceed r× (the probability will be smaller than 0.05). Equation (1) will be
more accurate when the "true" agreement coefficient is large, and less accurate when it is small.
Equation (1) shows that the smaller the relative error, the higher the required sample size. Likewise, the smaller the difference between the overall and chance-agreement probabilities, the higher
the required sample size. Table 1 below shows the magnitude of n for different values of the relative error and the agreement probability differences. It appears from this table that the sample size
is smaller than 100 only if the difference between the 2 agreement probabilities is reasonably high. This is due to the fact that kappa-like agreement coefficients quickly become very unstable when
the 2 quantities are close to one another. This difference is generally not known at the design stage. The rule of thumb I propose is to assume the best case scenario that chance-agreement
probability is 0, and use an anticipated value for
Table 1: Number of
Subjects by
Relative Error &
Probability Difference
│ │Relative Error │
│ ├──────┬──────┬───┤
│ │ 20% │ 30% │40%│
│0.1│ 2,500│ 1,111│625│
│0.2│ 625│ 278│156│
│0.3│ 278│ 123│ 69│
│0.4│ 156│ 69│ 39│
│0.5│ 100│ 44│ 25│
│0.6│ 69│ 31│ 17│
│0.7│ 51│ 23│ 13│
│0.8│ 39│ 17│ 10│
│0.9│ 31│ 14│ 8│
│1.0│ 25│ 11│ 6│
Cantor, A.B. (1996).Sample Size Calculations for Cohen's Kappa, Psychological Methods, Vol 1, No. 2, pp 150 - 153.
Gwet, K.L. (2008a). Computing inter-rater reliability and its variance in the presence of high agreement, British Journal of Mathematical and Statistical Psychology (2008), 61, 29–48
Gwet, K.L. (2008b). Variance Estimation of Nominal-Scale Inter-Rater Reliability with Random Selection of Raters, Psychometrika — Vol. 73, No. 3, 407–430. September 2008
Gwet, K.L. (2010). Handbook of Inter-Rater Reliability (2nd Edition), Advanced Analytics, LLC
Back to the Inter-Rater Reliability Discussion Corner's Home Page
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Questions and Answers
Status: Accepting answers
umar khan @ on
How is the force due to Z piezo motion determined?
Hello, Can you please tell me how the force due the Z piezo motion can be found when the Z piezo motion is arbitrary. In the VEDA manual (http://nanohub.org/resources/15166/download/VEDA_Manual.pdf),
this force (referred to as F_i^Z) is determined for the special case when the Z piezo is moving with constant velocity (Eq. 109-110).
This question arises for the case when the Z piezo movement is generated by a PI controller in a feedback loop, as illustrated in Fig. 88 of the same manual.
Thank you.
3 Responses
See the text immediately below equation 74. Basically, F_i^z is neglecting in all of the scanning tools (i.e. whenever there is a PI controller). The reasoning is that Z velocity is typically
very slow in those cases, especially when compared to the other movements of the cantilever. It is only on the approach curves tools (FZ curves, dynamic approach curves) that we include F_iz.
Does that answer the question?
Please login to answer the question.
I understand that the F_i^Z force is neglected. However then how is the effett of the “Z” signal generated by the PI controller in Figure 88 simulated. Is the value of “Z” used to determine
“bar” in Eq. 97? ( where “bar” is used to determine the normalized tip sample interaction force bar} )
Please login to answer the question.
correction: please read “bar” as “d bar”, i.e the normalized tip sample separation.
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number of handshakes in a party
March 29th 2010, 08:33 AM #1
Junior Member
Nov 2009
number of handshakes in a party
A collection of $n$ couples attend a party at which a number
of people shake hands. Suppose that no pair shake hands more than once,
and no one shakes hands with her partner. At the end of the evening, the
host asks each of the $2n-1$ other people how many hands they shook. She
receives $2n - 1$ different answers. How many hands did the host shake?
How many did her partner shake?
A collection of $n$ couples attend a party at which a number
of people shake hands. Suppose that no pair shake hands more than once,
and no one shakes hands with her partner. At the end of the evening, the
host asks each of the $2n-1$ other people how many hands they shook. She
receives $2n - 1$ different answers. How many hands did the host shake?
How many did her partner shake?
Without even trying to hard the answer is use the pigeon hole principle! -- edit sorry this should say injectivity.
The answer is n-1. The logic used to it is rather tedious. Here is a quick overview.
There are 2n people. First, we must use injectivity. 2n-1 people reported 2n-1 different number of handshakes. Since the maximum number of handshakes is 2n-1-1 = 2n-2 a person can make, that
means each persons number of handshakes is between 0 and 2n-2. Since there are 2n-1 values between 0 and 2n-2 we must have by injectivity that each person other than the hostess must have a
unique number of handshakes between 0 and 2n-2. Label each person (other than the hostess) by their number of handshakes.
Consider person 2n-2, this person must have handshook everyone except 0, including the hostess. This is because there are 2n-1 possible people other than 2n-2 himself, but 0 is not available.
Then consider person 2n-3 this person can not handshake 0 or 1 (1 has reached his maximum allowed handshakes) thus he must have handshook everyone except those 2. Continue this process until you
reach person n this person must handshake everyone except people 0, ..., n-2. Now consider person n-1. This person has reached their exact allowed quota of handshakes already. This is true of all
people n-1 to 0. Now consider the hostess. She can not be allowed to handshake any additional people for every person has reached their quota of handshakes. Thus she has handshook everyone from
2n-2 to n that is 2n-2 -n + 1 = n -1 people.
Last edited by gmatt; March 30th 2010 at 11:58 PM.
added the answer to my post above. Is should note by necessity her partner is person n-1. Thus both her and her partner shook n-1 hands.
Last edited by gmatt; March 31st 2010 at 09:44 AM.
March 30th 2010, 09:53 PM #2
Oct 2009
March 30th 2010, 11:58 PM #3
Oct 2009
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pmatrix error
October 22nd 2011, 03:23 PM
pmatrix error
In this thread, I couldn't get the following to work.
\begin{pmatrix}x_1\\\vdots\\x_n\end{pmatrix}=\begi n{pmatrix}\alpha\wedge x_1\\\vdots\\\alpha\wedge x_n\end{pmatrix}
It gives
$\begin{pmatrix}x_1\\\vdots\\x_n\end{pmatrix}=\begi n{pmatrix}\alpha\wedge x_1\\\vdots\\\alpha\wedge x_n\end{pmatrix}$
I had to interject "[/tex][tex]" after "=". Why is that?
PS: I have no idea where the space in the second "begin" comes from. It's not there when I edit the text.
October 22nd 2011, 04:00 PM
Re: pmatrix error
I also noticed that spaces are sometimes inserted into LaTeX commands, which makes them invalid.
October 22nd 2011, 11:03 PM
Re: pmatrix error
In this thread, I couldn't get the following to work.
\begin{pmatrix}x_1\\\vdots\\x_n\end{pmatrix}=\begi n{pmatrix}\alpha\wedge x_1\\\vdots\\\alpha\wedge x_n\end{pmatrix}
It gives
$\begin{pmatrix}x_1\\\vdots\\x_n\end{pmatrix}=\begi n{pmatrix}\alpha\wedge x_1\\\vdots\\\alpha\wedge x_n\end{pmatrix}$
I had to interject "[/tex][tex]" after "=". Why is that?
PS: I have no idea where the space in the second "begin" comes from. It's not there when I edit the text.
Seperating LaTeX special characters with spaces gives:
$\begin{pmatrix}x_1 \\ \vdots \\ x_n \end{pmatrix} = \begin{pmatrix}\alpha \wedge x_1 \\ \vdots \\ \alpha \wedge x_n \end{pmatrix}$
[tex]\begin{pmatrix}x_1 \\ \vdots \\ x_n \end{pmatrix} = \begin{pmatrix}\alpha \wedge x_1 \\ \vdots \\ \alpha \wedge x_n \end{pmatrix}[/tex]
instead of:
[tex]\begin{pmatrix}x_1\\\vdots\\x_n\end{pmatrix}=\begi n{pmatrix}\alpha\wedge x_1\\\vdots\\\alpha\wedge x_n\end{pmatrix}[/tex]
(the space in the second begin is not really there, I don't know why it renders that way)
Obviously somewhere in there the interpreter is having difficulty in determining where one thing ends and the next starts - possibly causing a buffer overflow. Also though not all the spaces I
have put in are essential to getting this to render, putting in spaces make the LaTeX more readable.
The problem could also be due to vBulletin putting in an extra space when it needs to stop for breath in a long string without spaces. Which seems to be the case, as demonstrated with the
following example with just one space inserted before the second \begin:
[tex]\begin{pmatrix}x_1\\\vdots\\x_n\end{pmatrix} =\begin{pmatrix}\alpha\wedge x_1\\\vdots\\\alpha\wedge x_n\end{pmatrix}[/tex]
$\begin{pmatrix}x_1\\\vdots\\x_n\end{pmatrix} =\begin{pmatrix}\alpha\wedge x_1\\\vdots\\\alpha\wedge x_n\end{pmatrix}$
October 22nd 2011, 11:44 PM
Re: pmatrix error
i have noticed that with vmatrix, bmatrix and pmatrix commands the \begin and \end parts often need an extra space in front to parse correctly (the delimiters often fail to display if i don't do
also, "new row" commands within these commands (the \\ at the end of every row) often need an extra space, especially if you are using something like \greekletter as the first character of a
subsequent row (i think this confuses the interpreter).
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Infinite Intersection
February 9th 2010, 09:02 AM #1
Junior Member
Sep 2008
Infinite Intersection
I'm just wondering if my answer is correct:
All the questions are asking for the infinite intersection of n from 1 to infinity of the following intervals:
a. [-1/n,1/n]
b. [-1/n,infinity)
c. (-1/n,infinity)
My answer:
a. {0}
b. [0,infinity)
c. [0,infinity)
I'm not sure if b and c have the same answer :/
Thanks for double checking
February 9th 2010, 09:16 AM #2
February 9th 2010, 09:20 AM #3
Junior Member
Sep 2008
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Equations of the secant variety
up vote 3 down vote favorite
Let $X\subset\mathbb{P}^N$ be an irreducible nondegenerate (i.e. not contained in a hyperplane) projective complex algebraic variety, and let $\mathrm{Sec}(X)$ be the secant variety of $X$ (i.e. the
union of all secant lines of $X$). Further suppose that the homogeneous ideal of $X$ is generated by forms $F_1,\ldots,F_m$ of degree two.
How do I write the equations of $\mathrm{Sec}(X)$ as a function of $F_0,\ldots,F_m$ ?
Let us focus attention on the simplest case, i.e. when $\mathrm{Sec}(X)$ is a cubic hypersurface. Then we have $\mathrm{Sec}(X)=V(G(x_0,\ldots,x_N))$, where $G(x_0,\ldots,x_N)=\sum_{i=1}^m L_i(x_0,\
ldots,x_N) F_i(x_0,\ldots,x_N)$. The linear forms $L_0,\ldots,L_N$ depend only by $F_0,\ldots,F_N$, but how?
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2 Answers
active oldest votes
The computation of explicit equations of secant varieties is hard in general. However, things are simpler when one works with determinantal varieties, i.e. varieties whose equations are
given by some minors of a matrix of homogeneous forms.
In fact, there is the following result, that one can find in [Harris, Algebraic Geometry, p. 145]:
Proposition. Let $M$ be the projective space of $m \times n$ matrices and let $M_k \subset M$ be the subvariety of matrices of rank at most $k$. Assume that $2k < \min\{m, n\}$. Then
the secant variety $S(M_k)$ is equal to the subariety $M_{2k} \subset M$ of matrices of rank at most $2k$.
As an example, let us consider the Veronese surface $X \subset \mathbb{P}^5$, whose equations are the $2 \times 2$ minors of the matrix $$ M:=\pmatrix{z_0 & z_3 & z_4 \cr z_3 & z_1 & z_5 \
up vote 3 cr z_4 & z_5 & z_2}.$$ In this case $m=n=3$ and $k=1$, that is $X=M_1$. Then the secant variety $S(X)$ coincides with the determinantal variety $M_2$, i.e. with the cubic hypersurface
down vote defined by $$\det M=0.$$ This is essentially due to the fact that the linear combination of two rank $1$ matrices can have rank at most $2$.
Developing the determinant along any line or column, you can find an expression of the equation of $S(X)$ as a linear combination of generators of the homogeneous ideal $I(X)$.
Moreover, in the same way one can find equations for the secant varieties of rational normal curves, see [Harris, Algebraic geometry, p. 103].
For a deeper treatment of this problem, see the paper by Ottaviani and Landsberg Equations for secant varieties of Veronese and other varieties, arXiv:1111.4567.
Thank you very much for your answer. – gio Nov 29 '12 at 9:52
You are welcome – Francesco Polizzi Nov 29 '12 at 10:16
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If $I(X)$, the ideal of $X$ is empty in degrees less than $d$, then there can be no equations of the secant variety until degree $d+1$, and the ideal in degree $d+1$ consists of all
polynomials $P$ such that all partials of $P$ are in $I_d(X)$. There is a similar description for the ideal of the secant variety in higher degrees which I call "multi-prolongation", but one
up vote does not know when one has generators for the ideal by this method, and it becomes very difficult to compute. In your case, since you have a hypersurface the termination problem does not
2 down arise - your cubic is the unique cubic all of whose partial derivatives are in the ideal of $X$.
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is the preorder of locally closed immersions complete?
up vote 1 down vote favorite
Let $X$ be a scheme. Consider the preorder of locally closed immersions into $X$ (considered, say, as a full subcategory of $Sch/X$). Is it complete or cocomplete? That is, are there infima or
Ok it's easy to see that every nontrivial locally closed subscheme of $\mathbb{A}^1_\mathbb{C}$ contains only finitely or cofinitely many rational points of $\mathbb{A}^1_{C}$. Therefore we should
restrict to finite infima or suprema.
I guess everything works fine for infima if we restrict to seperated schemes. Take the ideal sheaves in the open subschemes which correspond to the closed immersions, restrict them to their
intersection, take the smallest quasi coherent ideal which contains them and consider the corresponding closed subscheme of the intersection.
I would find this question easier to read if you stated explicitly which way the order relation goes. There may be a standard convention in Sch/X, but not everyone who might find the question
interesting is necessarily familiar with the convention. – Charles Staats Apr 10 '10 at 15:37
As I said, the preorder is a full subcategory of $Sch/X$. Thus for locally closed immersions $i : U \to X, j : V \to X$, we have $i \leq j$ iff there is a $X$-morphism $U \to V$ (which is unique
since $j$ is mono). – Martin Brandenburg Apr 10 '10 at 16:36
Also it can be proven without much difficulty that this category is "essentially-small" in the sense that there is a small skeleton. Thus for many purposes it makes sense to regard this category as
a small preorder. – Martin Brandenburg Apr 10 '10 at 17:22
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2 Answers
active oldest votes
The maximum may not exist in general. Take X=Spec k[T,U] the affine plane, A the complement of the vertical line L passing through the origin (A=Spec k[T,U,1/T]) and B the origin (Spec k
[T,U]/(T,U)). Then, the maximum C of A and B in the ordered set of subschemes of X does not exist. If it was the case, then C should be some subscheme of X. Such are usually described as
closed subschemes in some open subset of X, but can also be described as open subsets in some closed subschemes Z of X (I cannot find the reference in general, but it is certainly true
up vote 3 when the schemes are noetherian). As U is (schematically)-dense in X, this Z can be nothing else as X itself, then C should be an open subset of X containing A and B, that is the open
down vote complement of a finite set of closed points of the line L except the origin, in which case it is clear that we could find an open subset of X containing A and B and strictly contained in
accepted C, which would give a contradiction.
alright :). can someone give a reference for the desccription of locally closed immersions? so far, I know only the other direction. – Martin Brandenburg Apr 15 '10 at 14:50
Well, it follows from EGA I 9.5.10 : Let Y be a subscheme of a scheme X, such that the canonical injection i:Y->X be a quasi-compact morphism. Then, there exists a smallest closed
subscheme Z of X containing Y ; as a set, Z is the closure of Y ; and Y identifies to an open subscheme of Z. This precisely gives the factorisation Y -> Z -> X of Y -> X as an open
immersion followed by a closed immersion. – Joël Riou Apr 15 '10 at 15:21
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It does not have suprema. For example, consider the affine plane $\mathbb A^2_{\mathbb C}$, and let $\mathbb A^1_{\mathbb C}$ by the line $y=0$. Consider the locally closed subschemes $U :=
\mathbb A^2_{\mathbb C} \smallsetminus \mathbb A^1_{\mathbb C}$ and $V := \{(0,0)\}$ with the reduced scheme structure. The locally closed subschemes that contain $U$ and $V$ are the
up vote 2 complements of finite set of points in $\mathbb A^2_{\mathbb C} \smallsetminus \{(0,0)\}$; so there is no supremum.
down vote
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Bioinformatics Courses
UCLA’s Bioinformatics Core Curriculum has been offered continuously since 1999. It functions not as a monolithic, comprehensive bioinformatics curriculum, but instead defines the hard core of what
you must know to invent new kinds of bioinformatics. It teaches the shared concepts, language and skills which bioinformaticists must have to operate in a collaborative, inter-disciplinary mode. Our
goal is to train students who can speak the language of statistical inference, computational complexity, network analysis and data mining. The core curriculum teaches a common vocabulary and set of
concepts so people can communicate and collaborate. Beyond this, our main goal is to leave flexibility for students to create a bioinformatics training tailored to their individual interests and
Course Choices: Intro course vs. Bioinformatics core sequence
For biology students interested in an introduction to genomics and bioinformatics tools, there is a course offered by Prof. Matteo Pellegrini that does not require programming or statistics
prerequisites: MCDB 172 “Genomics and Systems Biology”.
Students who want an in-depth introduction to bioinformatics theory and methods should take the bioinformatics core course sequence. Chem 160A/260A “Introduction to Bioinformatics,” Statistics 254
“Statistical Methods in Computational Biology”, and Chem 160B/260B “Advanced Algorithms in Bioinformatics”. They require statistics and programming prerequisites:
1. Statistics 100A or Math 170A or Biostatistics 100A or 110A
2. AND one of PIC 10C or Computer Science 32. Beginning 2007-8, the bioinformatics core courses require understanding algorithms and data structures, and involve programming projects.
Note: these prerequisites are required. Stats 100A is offered during Summer session and both Fall and Spring quarters.
Two other newer courses include Computer Science 124/224 “Computational Genetics” (offered by E. Eskin) and Computer Science 229 “Current Topics in Bioinformatics” (offered by E. Eskin). These
courses have the same prerequisites as the core bioinformatics courses.
Core Course Descriptions:
Chemistry CM260A. Introduction to Bioinformatics and Genomics. (4)
(Formerly numbered CM260.) (Same as Human Genetics M260A and Computer Science CM221.) Lecture, four hours; discussion, two hours. Recommended requisites: CS32 or Program in Computing 10C, and
Biostatistics 100Aor 110A or Mathematics 170A or Statistics 100A. Introductionto bioinformatics and methodologies, with emphasis on concepts andinventing new computational and statistical techniques
to analyzebiological data. Focus on sequence analysis and alignment algorithms.The course is intended for both students in engineering as well asstudents from the biological sciences and medical
school. No priorknowledge of biology is required. Concurrently scheduled with course Computer Science CM121. P/NP or letter grading.
Chemistry C260B. Algorithms in Bioinformatics and Systems. (4)
(Same as Bioinformatics M260B and Computer Science CM222) . Lecture, four hours; discussion, two hours. Recommended requisite: Computer Science 32 or Program in Computing 10C, and and Biostatistics
100A or 110A or Mathematics 170A or Statistics 100A. Development andapplication of computational approaches to biological questions. Focuson formulating interdisciplinary problems as computational
problemsand then solving these problems using algorithmic techniques. Thecomputational techniques discussed include techniques from statisticsand computer science. The course is intended for both
students inengineering as well as students from the biological sciences andmedical school. Concurrently scheduled with course Computer Science CM122. Letter grading.
Statistics M254. Statistical Methods in Computational Biology. (4)
(Same as Biomathematics M271.) Lecture, three hours; discussion, one hour. Preparation: elementary probability concepts. Requisite: course 100A. Training in probability and statistics for students
interested in pursuing research in computational biology, genomics, and bioinformatics. Letter grading.
Computer Science 224. Computational Genetics (4)
(Same as Human Genetics CM224.) Lecture, four hours; discussion, two hours. Recommended requisite: Computer Science 32 or Program in Computing 10C, and and Biostatistics 100A or 110A or Mathematics
170A or Statistics 100A. Introduction to computational analysis of genetic variation and computational interdisciplinary research in genetics. Topics include introduction to genetics, identification
of genes involved in disease, inferring human population history, technologies for obtaining genetic information and geneticsequencing. Focus on formulating interdisciplinary problems as
computational problems and then solving these problems using computational techniques. The computationaltechniques discussed include techniques from statistics and computer science. The course is
intended for both students in engineering as well as students from the biological sciences and medical school. Concurrently scheduled with course Computer Science CM124. Letter grading.
Computer Science 229. Current Topics In Bioinformatics. (4)
(Same as Human Genetics M229S.) Seminar, four hours; outside study, eight hours. Designed for graduate engineering students, as well as students from biological sciences and medical school.
Introduction to current topics in bioinformatics, genomics, and computational genetics and preparation for computational interdisciplinary research in genetics and genomics. Topics include genome
analysis, regulatory genomics, association analysis, association study design, isolated and admixed populations, population substructure, human structural variation, model organisms, and genomic
technologies. Computational techniques include those from statistics and computer science. May be repeated for credit with topic change. Letter grading.
Other Required Courses:
Chemistry 202. Bioinformatics Interdisciplinary Research Seminar. (2)
Seminar, two hours; discussion, two hours. Concrete examples of how biological questions about genomics data map to and are solved by methodologies from other disciplines, including statistics,
computer science, and mathematics. May be repeated for credit. S/U or letter grading.
Chemistry M252. Seminar: Advanced Methods in Computational Biology. (2)
(Same as Human Genetics M252.) Seminar, one hour; discussion, one hour. Designed for advanced graduate students. Examination of computational methodology in bioinformatics and computational biology
through presentation of current research literature. How to select and apply methods from computational and mathematical disciplines to problems in bioinformatics and computational biology;
development of novel methodologies. S/U or letter grading.
Chemistry 260BL. Advanced Bioinformatics Computational Laboratory. (2)
Laboratory, 4 hours. Enforced requisite: CM260A. Co-requisite: C260B. This course will focus on the development and application of computational approaches to ask and answer biological questions.
Students completing the course should be able to implement a variety of bioinformatics and systems biology algorithms. Correspondingly, they should have an appreciation for the advantages and
disadvantages of different algorithmic methods for studying biological questions. Furthermore, students should gain a preliminary understanding of how to compute the statistical significance of their
results, a process which may involve writing an estimation or sampling program. The course will focus on development of a conceptual understanding of implementation of bioinformatics algorithms and
give students a foundation for how to do innovative work in these fields. Material will be drawn from specific, relevant biological problems and will closely parallel 260B. As a complement to 260,
students will gain experience in observing the impact of computational complexity of an algorithm in computing a solution. S/U or letter grading. Bioinformatics Interdepartmental Graduat e Program
Proposal Ð page 50
Elective Course Descritions:
Genomics Concentration Area:
Biostatistics M272. Theoretical Genetic Modeling . (4)
(Formerly numbered M237A.) (Same as Biomathematics M207A and Human Genetics M207A.) Lecture, three hours; discussion, one hour. Requisites: Mathematics 115A, 131A, Statistics 100B. Mathematical
models in statistical genetics. Topics include population genetics, genetic epidemiology, gene mapping, design of genetics experiments, DNA sequence analysis, and molecular phylogeny. S/U or letter
Biostatistics M278. M278. Statistical Analysis of DNA Microarray Data. (4)
(Formerly numbered 278.) (Same as Human Genetics M278.) Lecture, three hours. Requisite: course 200C. Instruction in use of statistical tools used to analyze microarray data. Structure corresponds to
analytical protocol an investigator might follow when working with microarray data. S/U or letter grading.
Chemical Engineering 246. Systems Biology: Intracellular Network Identification and Analysis. (4)
Lecture, four hours; outside study, eight hours. Requisites: course CM245, Life Sciences 1, 2, 3, 4, Mathematics 31A, 31B, 32A, 33B. Systems approach to intracellular network identification and
analysis. Transcriptional regulatory networks, protein networks, and metabolic networks. Data from genome sequencing, large-scale expression analysis, and other high-throughput techniques provide
bases for systems identification and analysis. Discussion of gene-metabolic network synthesis. Letter grading.
Chemistry 269C. Nucleic Acid Structure and Catalysis. (2)
Lecture, five hours; discussion, two hours. Requisites: courses 153A, 153B, 153C, 156. Threedimensional structure of DNA and RNA. Sequence-specific recognition of DNA and RNA. RNAcatalyzed processes,
including self-splicing and peptide bond formation. Letter grading.
Ecology and Evolutionary Biology C275. Computational Biology. (4)
Lecture, three hours; laboratory, one hour. Requisites: Life Sciences 1, 4. Introduction to computational biology. Topics include statistical and mathematical analysis, computer simulation, use of
Internet for remote databases, and connection to supercomputers, with emphasis on biological applications and individual or group projects. Concurrently scheduled with course C159.
Human Genetics 236A. Advanced Human Genetics. (4)
(Formerly numbered 236.) Lecture, three hours. Requisites: courses CM248, CM253. Advanced topics in human genetics related to Mendelian disease, molecular genetics, and relevant technologies. Topics
include cytogenetics, genomics, proteomics, positional cloning, bioinformatics, gene therapy, and developmental genetics. Reading materials include original research papers and reviews. Letter
Human Genetics 236B. Advanced Human Genetics. (4)
Lecture, three hours. Requisites: courses 236A, CM248, CM253. Advanced topics in human genetics related to complex genetic traits and common diseases, with emphasis on biostatistics and mathematical
modeling. Reading materials include original research papers and reviews. Letter grading.
Human Genetics C244. Genomic Technology. (4)
Lecture, three hours; discussion, one hour. Requisite: Life Sciences 4. Survey of key technologies that have led to successful application of genomics to biology, with focus on theory behind specific
genome-wide technologies and their current applications. Concurrently scheduled with course C144. S/U or letter grading.
Pathology 255. Mapping and Mining Human Genomes. (3)
Lecture, three hours. Basic molecular genetic and cytogenetic techniques of gene mapping. Selected regions of human genomic map scrutinized in detail, particularly gene families and clusters of genes
that have remained linked from mouse to human. Discussion of localizations of disease genes. S/U or letter grading.
Statistics 165. Statistical Methods and Data Mining. (4)
Lecture, three hours. Requisite: course 100A. Introduction and overview of up-to-date statistical methods in microarray analysis designed for students in biostatistics, statistics, and human genetics
who are interested in technology and statistical analysis of microarray experiments. Useful for biology students with basic statistical training who are interested in understanding logic underlying
many statistical methods. P/NP or letter grading.
Proteomics Concentration Area:
Chemical Engineering 246. Systems Biology: Intracellular Network Identification and Analysis. (4)
Lecture, four hours; outside study, eight hours. Requisites: course CM245, Life Sciences 1, 2, 3, 4, Mathematics 31A, 31B, 32A, 33B. Systems approach to intracellular network identification and
analysis. Transcriptional regulatory networks, protein networks, and metabolic networks. Data from genome sequencing, large-scale expression analysis, and other high-throughput techniques provide
bases for systems identification and analysis. Discussion of gene-metabolic network synthesis. Letter grading.
Chemistry M230B. Structural Molecular Biology. (4)
Bioinformatics Interdepartmental Graduat e Program Proposal Ð page 52 (Same as Molecular, Cell, and Developmental Biology M230B.) Lecture, three hours; discussion, one hour. Requisites: Mathematics
3C, Physics 6C. Selected topics from principles of biological structure; structures of globular proteins and RNAs; structures of fibrous proteins, nucleic acids, and polysaccharides; harmonic
analysis and Fourier transforms; principles of electron, neutron, and X-ray diffraction; optical and computer filtering; three-dimensional reconstruction. S/U or letter grading.
Chemistry 256N. Seminar: Research in Biochemistry: Advanced Topics in Structural Biology. (2)
Seminar, three hours. Advanced study and analysis of current topics in biochemistry. Discussion of current research and literature in research specialty of faculty member teaching course. S/U
Chemistry 256S. Seminar: Research in Biochemistry: Proteome Bioinformatics. (2)
Seminar, three hours. Advanced study and analysis of current topics in biochemistry. Discussion of current research and literature in research specialty of faculty member teaching course. S/U
Chemistry 266. Proteomics and Protein Mass Spectrometry. (3)
Lecture, two hours. Essential technologies and concepts practiced in proteomics-based research, including methods for protein separation and display, protein quantitation, and protein identification.
Emphasis on fundamentals of protein mass spectrometry. S/U or letter grading.
Chemistry 269A. Protein Structure. (2)
Lecture, five hours; discussion, two hours. Requisites: courses 153A, 153B, 153C, 156. Threedimensional structure of proteins. Forces that stabilize structure of soluble and membrane proteins.
Kinetics of protein folding and role of chaperones. Prediction of protein structure from sequence. Letter grading.
Molecular Evolution and Comparative Genomics Concentration Area:
Biomathematics M211. Mathematical and Statistical Phylogenetics. (4)
(Same as Human Genetics M211.) Lecture, three hours; laboratory, one hour. Requisites: Biostatistics 110A, 110B, Mathematics 170A. Theoretical models in molecular evolution, with focus on
phylogenetic techniques. Topics include evolutionary tree reconstruction methods, studies of viral evolution, phylogeography, and coalescent approaches. Examples from evolutionary biology and
medicine. Laboratory for hands-on computer analysis of sequence data. S/U or letter grading.
Biostatistics M272. Theoretical Genetic Modeling . (4)
(Formerly numbered M237A.) (Same as Biomathematics M207A and Human Genetics M207A.) Lecture, three hours; discussion, one hour. Requisites: Mathematics 115A, 131A, Statistics 100B. Mathematical
models in statistical genetics. Topics include population genetics, genetic epidemiology, gene mapping, design of genetics experiments, DNA sequence analysis, and molecular phylogeny. S/U or letter
Ecology and Evolutionary Biology M231. Molecular Evolution. (4)
(Same as Earth and Space Sciences M217.) Lecture, two hours; discussion, two hours. Series of advanced topics in molecular evolution, with special emphasis on molecular phylogenetics. Topics may
include nature of the genome, neutral evolution, molecular clocks, concerted evolution, molecular systematics, statistical tests, and phylogenetic algorithms. Themes may vary from year to year. May
be repeated for credit. S/U or letter grading. Bioinformatics Interdepartmental Graduat e Program Proposal Ð page 53
Ecology and Evolutionary Biology C235. Population Genetics. (4)
Lecture, three hours; discussion, one hour. Requisite: Life Sciences 4. Strongly recommended: course 100, Mathematics 31A, 31B. Basic principles of genetics of population, dealing with genetic
structure of natural populations and mechanisms of evolution. Equilibrium conditions and forces altering gene frequencies, polygenic inheritance, molecular evolution, and methods of quantitative
genetics. Concurrently scheduled with course C135. Letter grading. Molecular, Cell, and Developmental Biology C222A. Advanced Topics in Cell and
Molecular Biology. Molecular Evolution. (2)
Lecture, two hours. Requisites: courses 100 or C139 or M140, 144, Life Sciences 4. Current developments in the field of molecular evolution. Constructing evolutionary trees at molecular level; formal
testing of evolutionary hypotheses using sequencing data. Original research proposal required. Letter grading.
Molecular, Cell, and Developmental Biology 292. Seminar: Molecular Evolution. (2)
Discussion, three hours. Detailed analysis of current understanding of evolution of molecular sequences and structures.
Neuroinformatics Concentration Area:
Biomedical Engineering M217. Biomedical Imaging. (4)
(Same as Electrical Engineering M217.) Lecture, three hours; laboratory, two hours; outside study, seven hours. Requisite: Electrical Engineering 114D or 211A. Mathematical principles of medical
imaging modalities: X-ray, computed tomography, positron-emission tomography, single photon emission computed tomography, magnetic resonance imaging. Topics include basic principles of each imaging
system, image reconstruction algorithms, system configurations and their effects on reconstruction algorithms, specialized imaging techniques for specific applications such as flow imaging. Letter
Biomedical Physics 208A. Medical Physics Laboratory: Medical Imaging. (4)
Discussion, two hours; laboratory, four hours. Requisite: course 205. Hands-on experience performing acceptance testing and quality control checks of imaging equipment such as fluoroscopy, digital
subtraction angiography, mammography, ultrasound, magnetic resonance imaging, computed tomography, and computed radiography.
Biomedical Physics 210. Principles of Medical Image Processing. (4)
Lecture, three hours; discussion, one hour. Requisite: course 209. Study of image representation, computational structures for imaging, linear systems theory, image enhancement and restoration, image
compression, segmentation, and morphology. Special topics include visualization techniques, three-dimensional modeling, computer graphics, and neural net applications. Laboratory projects apply
concepts developed in class.
Biomedical Physics 214. Medical Image Processing Systems. (4)
Lecture, three hours; discussion, one hour. Requisites: courses 209, 210. Advanced image processing and image analysis techniques applied to medical images. Discussion of approaches to computer-aided
diagnosis and image quantitation, as well as application of pattern classification techniques (neural networks and discriminant analysis). Examination of problems from several imaging modalities (CT,
MR, CR, and mammography).
Biomedical Physics M266. Advanced Magnetic Resonance Imaging. (4)
Bioinformatics Interdepartmental Graduat e Program Proposal Ð page 54 (Same as Neuroscience M267 and Psychiatry M266.) Lecture, four hours. Starting with basic principles, presentation of physical
basis of magnetic resonance imaging (MRI), with emphasis on developing advanced applications in biomedical imaging, including both structural and functional studies. Instruction more intuitive than
mathematical. Letter grading.
Biomedical Physics M285. Functional Neuroimaging: Techniques and Applications. (4)
(Same as Psychiatry M285.) In-depth examination of activation imaging, including PET and MRI methods, data acquisition and analysis, experimental design, and results obtained thus far in human
systems. Strong focus on understanding technologies, how to design activation imaging paradigms, and how to interpret results. Laboratory visits and design and implementation of a functional MRI
experiment. S/U or letter grading.
Neuroscience CM272. Neuroimaging and Brain Mapping. (4)
(Same as Physiological Science M272 and Psychology M213.) Lecture, three hours. Requisites: courses M201, M202. Theory, methods, applications, assumptions, and limitations of neuroimaging.
Techniques, biological questions, and results. Brain structure, brain function, and their relationship discussed with regard to imaging. Concurrently scheduled with course C172. Letter grading.
Statistics 233. Statistical Methods in Biomedical Imaging. (4)
Lecture, three hours. Requisite: course 100A. Brief review of common general statistical techniques. Advanced statistical methods for analysis of medical imaging, integration, visualization,
interrogation, and interpretation of imaging and nonimaging metadata. S/U or letter grading.
Computer Science Concentration Area:
Computer Science 229. Current Topics In Bioinformatics. (4)
(Same as Human Genetics M229S.) Seminar, four hours; outside study, eight hours. Designed for graduate engineering students, as well as students from biological sciences and medical school.
Introduction to current topics in bioinformatics, genomics, and computational genetics and preparation for computational interdisciplinary research in genetics and genomics. Topics include genome
analysis, regulatory genomics, association analysis, association study design, isolated and admixed populations, population substructure, human structural variation, model organisms, and genomic
technologies. Computational techniques include those from statistics and computer science. May be repeated for credit with topic change. Letter grading.
Biomedical Engineering 220. Introduction to Medical Informatics. (2)
Lecture, two hours; outside study, four hours. Designed for graduate students. Introduction to research topics and issues in medical informatics for students new to field. Definition of this emerging
field of study, current research efforts, and future directions in research. Key issues in medical informatics to expose students to different application domains, such as information system
architectures, data and process modeling, information extraction and representations, information retrieval and visualization, health services research, telemedicine. Emphasis on current research
endeavors and applications. S/U grading.
Biomedical Engineering 223A-223B-223C. Programming Laboratories for Medical Informatics I, II, III. (4-4-4)
Lecture, two hours; laboratory, two hours. Designed for graduate students. Programming laboratories to support coursework in other medical informatics core curriculum courses. Exposure to programming
concepts for medical applications, with focus on basic abstraction techniques used in image processing and medical information system infrastructures (HL7, DICOM). Letter grading. 223A. Integrated
with course 226 to reinforce concepts presented with practical experience. Projects focus on understanding medical networking issues and implementation of basic protocols for health care environment,
with emphasis on use of DICOM. 223B. Requisite: course 223A. Integrated with courses 224A and 227 to reinforce concepts presented with practical experience. Projects focus on medical image
manipulation and decision support systems. 223C. Requisite: course 223B. Integrated with courses 224B and 225 to reinforce concepts presented with practical experience. Projects focus on medical
image storage and retrieval.
Biomedical Engineering 226. Medical Knowledge Representation. (4)
Bioinformatics Interdepartmental Graduat e Program Proposal Ð page 55 Seminar, four hours; outside study, eight hours. Designed for graduate students. Issues related to medical knowledge
representation and its application in health care processes. Topics include data structures used for representing knowledge (conceptual graphs, frame-based models), different data models for
representing spatio-temporal information, rule-based implementations, current statistical methods for discovery of knowledge (data mining, statistical classifiers, and hierarchical classification),
and basic information retrieval. Review of work in constructing ontologies, with focus on problems in implementation and definition. Common medical ontologies, coding schemes, and standardized
indices/terminologies (SNOMEF, UMLS, MeSH, LOINC). Letter grading.
Biomedical Engineering 228. Medical Decision Making. (4)
Lecture, four hours; outside study, eight hours. Designed for graduate students. Overview of issues related to medical decision making. Introduction to concept of evidence-based medicine and decision
processes related to process of care and outcomes. Basic probability and statistics to understand research results and evaluations, and algorithmic methods for decision-making processes (Bayes
theorem, decision trees). Study design, hypothesis testing, and estimation. Focus on technical advances in medical decision support systems and expert systems, with review of classic and current
research. Introduction to common statistical and decision-making software packages to familiarize students with current tools. S/U grading.
Computer Science 224. Computational Genetics (4)
(Same as Human Genetics CM224.) Lecture, three hours; discussion, one hour; outside study, eight hours. Preparation: one statistics course and familiarity with any programming language. Designed for
undergraduate and graduate engineering students, as well as students from biological sciences and medical school. Introduction to current quantitative understanding of human genetics and
computational interdisciplinary research in genetics. Topics include introduction to genetics, human population history, linkage analysis, association analysis, association study design, isolated and
admixed populations, population substructure, human structural variation, model organisms, and genotyping technologies. Computational techniques include those from statistics and computer science.
Concurrently scheduled with course CM124. Letter grading.
Computer Science 249. Current Topics in Data Structures. (2 to 12)
Lecture, four hours; outside study, eight hours. Review of current literature in an area of data structures in which instructor has developed special proficiency as a consequence of research
interests. Students report on selected topics. May be repeated for credit with consent of instructor. Letter grading.
Computer Science M276A. Pattern Recognition and Machine Learning. (4)
(Formerly numbered 276A.) (Same as Statistics M231.) Lecture, three hours. Designed for graduate students. Fundamental concepts, theories, and algorithms for pattern recognition and machine learning
that are used in computer vision, image processing, speech recognition, data mining, statistics, and computational biology. Topics include Bayesian decision theory, parametric and nonparametric
learning, clustering, complexity (VC-dimension, MDL, AIC), PCA/ICA/TCA, MDS, SVM, boosting. S/U or letter grading.
Computer Science M296A. Advanced Modeling Methodology for Dynamic Biomedical Systems. (4)
(Same as Biomedical Engineering M296A and Medicine M270C.) Lecture, four hours; outside study, eight hours. Requisite: Electrical Engineering 141 or 142 or Mathematics 115A or Mechanical and
Aerospace Engineering 171A. Development of dynamic systems modeling Bioinformatics Interdepartmental Graduat e Program Proposal Ð page 56 methodology for physiological, biomedical, pharmacological,
chemical, and related systems. Control system, multicompartmental, noncompartmental, and input/output models, linear and nonlinear. Emphasis on model applications, limitations, and relevance in
biomedical sciences and other limited data environments. Problem solving in PC laboratory. Letter grading.
Computer Science M296D. Introduction to Computational Cardiology. (4)
(Same as Biomedical Engineering M296D.) Lecture, four hours; outside study, eight hours. Requisite: course M186B. Introduction to mathematical modeling and computer simulation of cardiac
electrophysiological process. Ionic models of action potential (AP). Theory of AP propagation in one-dimensional and two-dimensional cardiac tissue. Simulation on sequential and parallel
supercomputers, choice of numerical algorithms, to optimize accuracy and to provide computational stability. Letter grading.
Math and Statistics Concentration Area:
Biomathematics M203. Stochastic Models in Biology. (4)
(Same as Human Genetics M203.) Lecture, four hours. Requisite: Mathematics 170A or equivalent experience in probability. Mathematical description of biological relationships, with particular
attention to areas where conditions for deterministic models are inadequate. Examples of stochastic models from genetics, physiology, ecology, and a variety of other biological and medical
disciplines. S/U or letter grading.
Biomathematics 210. Optimization Methods in Biology. (4)
Lecture, four hours. Preparation: undergraduate mathematical analysis and linear algebra; familiarity with programming language such as Fortran or C. Modern computational biology relies heavily on
finite-dimensional optimization. Survey of theory and numerical methods for discrete and continuous optimization, with applications from genetics, medical imaging, pharmacokinetics, and statistics. S
/U or letter grading.
Biomathematics M211. Mathematical and Statistical Phylogenetics. (4)
(Same as Human Genetics M211.) Lecture, three hours; laboratory, one hour. Requisites: Biostatistics 110A, 110B, Mathematics 170A. Theoretical models in molecular evolution, with focus on
phylogenetic techniques. Topics include evolutionary tree reconstruction methods, studies of viral evolution, phylogeography, and coalescent approaches. Examples from evolutionary biology and
medicine. Laboratory for hands-on computer analysis of sequence data. S/U or letter grading.
Biostatistics M234. Applied Bayesian Inference. (4)
(Same as Biomathematics M234.) Lecture, three hours; discussion, one hour; laboratory, one hour. Requisites: courses 115 (or Statistics 100C), 200A. Bayesian approach to statistical inference, with
emphasis on biomedical applications and concepts rather than mathematical theory. Topics include large sample Bayes inference from likelihoods, noninformative and conjugate priors, empirical Bayes,
Bayesian approaches to linear and nonlinear regression, model selection, Bayesian hypothesis testing, and numerical methods. S/U or letter grading.
Biostatistics M272. Theoretical Genetic Modeling . (4)
(Formerly numbered M237A.) (Same as Biomathematics M207A and Human Genetics M207A.) Lecture, three hours; discussion, one hour. Requisites: Mathematics 115A, 131A, Statistics 100B. Mathematical
models in statistical genetics. Topics include population genetics, genetic epidemiology, gene mapping, design of genetics experiments, DNA sequence analysis, and molecular phylogeny. S/U or letter
grading. Bioinformatics Interdepartmental Graduat e Program Proposal Ð page 57
Biostatistics M278. M278. Statistical Analysis of DNA Microarray Data. (4)
(Formerly numbered 278.) (Same as Human Genetics M278.) Lecture, three hours. Requisite: course 200C. Instruction in use of statistical tools used to analyze microarray data. Structure corresponds to
analytical protocol an investigator might follow when working with microarray data. S/U or letter grading.
Statistics 165. Statistical Methods and Data Mining. (4)
Lecture, three hours. Requisite: course 100A. Introduction and overview of up-to-date statistical methods in microarray analysis designed for students in biostatistics, statistics, and human genetics
who are interested in technology and statistical analysis of microarray experiments. Useful for biology students with basic statistical training who are interested in understanding logic underlying
many statistical methods. P/NP or letter grading.
Statistics M231. Pattern Recognition and Machine Learning. (4)
(Formerly numbered 231.) (Same as Computer Science M276A.) Lecture, three hours. Designed for graduate students. Fundamental concepts, theories, and algorithms for pattern recognition and machine
learning that are used in computer vision, image processing, speech recognition, data mining, statistics, and computational biology. Topics include Bayesian decision theory, parametric and
nonparametric learning, clustering, complexity (VC-dimension, MDL, AIC), PCA/ICA/TCA, MDS, SVM, boosting. S/U or letter grading.
Statistics 234. Statistics and Information Theory. (4)
Lecture, three hours. Preparation: introductory probability theory course. While data compression and transmission are fundamental problems in information theory, field provides insights into
fundamentally statistical problems of estimation, prediction, and model selection. Even new concepts of randomness emerge from this line of research. S/U or letter grading.
Students with gaps in their previous training are allowed to take, with the approval of their academic adviser, appropriate undergraduate courses. However, these undergraduate courses may not be
applied toward course requirements for a graduate degree in the program.
The following supporting courses are offered in related fields: Statistics 100A (or equivalent preparation) is required as a prerequisite for Chemistry CM260A. CS 31 (or equivalent programming
skills) is required for Chemistry C260BL (Bioinformatics Algorithms Laboratory). The Program in Computing offers a range of courses (PIC 10ABC, PIC 20AB, PIC 60, PIC 110) that are also very useful
for bioinformatics students. The many departments of the Medical School and Life Sciences offer a wide range of coursework on biology that is highly relevant to bioinformatics students.
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Help ; Probabilistic inventory models
March 26th 2013, 11:16 PM #1
Mar 2013
Help ; Probabilistic inventory models
The demand for printed books is a random variable D with distribution approximated by a continuous uniform distribution on the interval[20,60]. Each book printed costs $15 to produce and sells
for $33. Any books left unsold will be disposed of at a cost of $10 per book plus a fixed disposal fee of $80. If a copy of the book is unavailable then a copy will be fast printed but this will
cost the bookshop $50 instead of the usual $15. How many books should be printed at the start to minimise expected costs?
Re: Help ; Probabilistic inventory models
Hey Trish.
Can you show us what you have tried? (Hint: Can you get random variables for each of your quantities including unsold books, fast printed books, and sold books with an equation for expected costs
as a function of these random variables?)
Re: Help ; Probabilistic inventory models
Hi Chiro.
This is what I have.
Let q = quantity printed d = demand
q - d = unsold books
10(q - d) + 80 = cost of disposing of unsold books
d - q = fast printed books needed
50(d-q) = cost of fast printed books
Expected total cost = 15q + 50(d-q) + 10(q-d) + 80
Now, my understanding is that I have to integrate this function between 20 and 60 but I am not really sure.
Re: Help ; Probabilistic inventory models
The thing is that you have to quantify what attribute you are trying to find.
Is the expected value (mean)? Perhaps you want a confidence interval that corresponds to some probability (85% of all values two sides of the mean?)
Re: Help ; Probabilistic inventory models
I'm sorry but you have lost me. I know that the mean is 20 and the standard deviation is 60. Also the expected demand is the mean, therefore 20. I don't know what a confidence interval is.
Re: Help ; Probabilistic inventory models
Because you have a random variable, it means you can have a range of possible solutions.
You can construct a confidence interval that corresponds to a range of values that satisfies some probability.
A 90% interval would for example capture the mean and 45% of the values either side of the mean and you would get an interval (a,b) for that probability.
Alternatively you could just get the average (expectation) and use that.
So you have two choices: get a single value (mean) or a interval value (probability).
March 27th 2013, 06:31 PM #2
MHF Contributor
Sep 2012
March 27th 2013, 08:30 PM #3
Mar 2013
March 27th 2013, 10:21 PM #4
MHF Contributor
Sep 2012
March 28th 2013, 02:35 AM #5
Mar 2013
March 28th 2013, 05:13 PM #6
MHF Contributor
Sep 2012
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CBSE Sample Papers Class 8th Maths
Sunday, January 22, 2012
CBSE Sample Papers Class 8th Maths
CBSE Sample Papers Class 8th Maths,VIII Maths Solved Questions
Posted by J Sunil at 3:30 AM
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[SciPy-Dev] anyone want to fix Mann-Whitney test?
josef.pktd@gmai... josef.pktd@gmai...
Sun Feb 5 08:28:39 CST 2012
On Sun, Feb 5, 2012 at 8:28 AM, Ralf Gommers <ralf.gommers@googlemail.com>wrote:
> On Sun, Feb 5, 2012 at 1:19 PM, <josef.pktd@gmail.com> wrote:
>> On Sun, Feb 5, 2012 at 5:17 AM, Ralf Gommers <ralf.gommers@googlemail.com
>> > wrote:
>>> Hi,
>>> There's a bug report and a number of new tests for mannwhitneyu at
>>> http://projects.scipy.org/scipy/ticket/1593. These plus a fix were
>>> contributed by Sebastian Pölsterl, unfortunately he based his initial fix
>>> on GPL'ed R code. Therefore I think we can't use that, even after he
>>> modified it. I looked at the GPL code too; I think we need someone who
>>> didn't do that to implement a new fix based only on the tests and bug
>>> report.
>>> Any takers?
>> From what I remember my impression is that this is only a "cosmetic"
>> change, or better a change in what is returned.
>> >>> v, pval = stats.mannwhitneyu(x, y)
>> >>> len(x)*len(y) - v
>> 498.0
> Ah, okay. I'm not sure if this is a desirable change then. Any idea why it
> was implemented like this?
No, I was just fixing bugs. This was one of the early tests I worked on
when I didn't have stronger opinions what the standard or more informative
returns are. Since the pvalues are correct, I didn't care too much about
which test statistic is reported.
Looking a bit closer, I'm in favor of the change. Returning the short tail
instead of the asked for tail in a one-sided test is not really "clean",
and trying to rewrite this, it's not easy to figure out which is which, 210
or 498. I haven't finished yet. I like requests with a full test suite.
If I remember correctly, then we return almost all the time the two-sided
test, so adding the option for one-sided test will be backwards compatible,
but for mannwhitneyu it might not be possible.
>> >>> pval*2
>> 9.188326533255e-05
>> docstring says:
>> The reported p-value is for a one-sided hypothesis, to get the
>> two-sided
>> p-value multiply the returned p-value by 2.
>> currently I think none of the tests that uses normal or t distribution
>> has one versus two sided option, but I think they could be added everywhere.
>> One argument in favor of adding two one-sided options is that we return
>> the correct tail instead of the smaller tail.
> fisher_exact, kstest and ks_twosamp have less/greater/two-sided. I also
> think it makes sense to add them where possible.
None of these have a symmetric test distribution, AFAI remember. So, for
those it's not easy to figure out how to move from one sided short tail to
two-sided or the other way around.
> Ralf
> _______________________________________________
> SciPy-Dev mailing list
> SciPy-Dev@scipy.org
> http://mail.scipy.org/mailman/listinfo/scipy-dev
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Growth Mixture Modeling Question
Hi all,
Having some trouble with a growth mixture model. I looked to previous examples in the /models/passing directory (specifically LCAlazarsfeld.R, Acemix.R and Acemix2.R) and thought the code below would
work. To summarize, I created two models for the two classes (differing in a small set of parameters a, r and d), and put them both in a parent model that contains the data and an objective function
that sums the (vectorized) objective functions from the two child models. When run, the code below fixes the class probabilities at .5 for each class and yields the same -2LL as the single-class
model. Parameters stayed fixed at their starting values for the class-dependent parameters, with standard errors at zero.
My conceptual problem with the code is with the class probability variable as a scalar value, when I would think it would be individually varying. Any help you can give would be appreciated.
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Solve for x:
`16^(2x-3)=8^(4x+1)` - Homework Help - eNotes.com
Solve for x:
Some images are still being reviewed.
Using logaritms:
To solve, express both sides of the equation with same base. So factor 8 and 16.
Then, apply this property of exponents which is `(a^m)^n=a^(m*n)` .
Now that both sides have the same base, equate the exponents equal to each other.
Then, bring together the terms with x on one side of the equation.
And, bring together the terms without x on the other side of the equation.
And, isolate x.
Hence, the solution to the given equation is `x=-15/4` .
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McNeel Wiki
The word NURBS is an acronym for non-uniform rational B spline. Non uniform rational B splines can represent 3 D geometry.
NURBS geometry has five important qualities that make it an ideal choice for computer aided modeling.
There are several industry standard ways to exchange NURBS geometry. This means that customers can and should expect to be able to move their valuable geometric models between various modeling,
rendering, animation, and engineering analysis programs. They can store geometric information in a way that will be usable 20 years from now.
NURBS have a precise and well-known definition. The mathematics and computer science of NURBS geometry is taught in most major universities. This means that specialty software vendors, engineering
teams, industrial design firms, and animation houses that need to create custom software applications, can find trained programmers who are able to work with NURBS geometry.
NURBS can accurately represent both standard geometric objects like lines, circles, ellipses, spheres, and tori, and free-form geometry like car bodies and human bodies.
The amount of information required for a NURBS representation of a piece of geometry is much smaller than the amount of information required by common faceted approximations.
The NURBS evaluation rule, discussed below, can be implemented on a computer in a way that is both efficient and accurate.
There are lots of ways to answer to this question. If you are comfortable reading mathematical formulae, then you can get more detailed information by going to the Books and papers on NURBS section
at the opennurbs web site
Rhino uses NURBS to represent curves and surfaces. NURBS curves and surfaces behave in similar ways and share a lot of terminology. Since curves are easiest to describe, we’ll cover them in detail.
Rhino has surface tools that are analogous to the curve tools mentioned below.
A NURBS curve is defined by four things: !degree, control points, knots, and an evaluation rule!.
This number is usually 1, 2, 3 or 5. Rhino lines and polylines are degree 1, Rhino circles are degree 2, and most Rhino free-form curves are degree 3 or 5. Rhino will let you work with NURBS that
have degrees from 1 to 32. Sometimes the terms linear, quadratic, cubic, and quintic are used. Linear means degree 1, quadratic means degree 2, cubic means degree 3, and quintic means degree 5.
You may see references to the order of a NURBS curve. The order of a NURBS curve is positive whole number equal to (degree+1). Consequently, the degree is equal to order-1.
It is possible to increase the degree of a NURBS curve and not change its shape. It is not possible to reduce a NURBS curve’s degree without changing its shape. Rhino provides tools that can change
degrees to any value in the range from 1 to 32.
The control points are a list of at least (degree+1) points.
One of easiest ways to change the geometry of a NURBS curve is to move its control points. Rhino provides several ways to move control points. To perform large free-form adjustments you simply use
the mouse to drag the control point. Rhino provides other tools tailored for small precise adjustments.
The control points have an associated number called a weight. With a few exceptions, weights are positive numbers. When a curve’s control points all have the same weight (usually 1), the curve is
called non-rational, otherwise the curve is called rational. The R in NURBS stands for rational and indicates that a NURBS curve has the possibility of being rational. In practice, most NURBS curves
are non-rational. A few NURBS curves; circles and ellipses being notable examples, are always rational. Rhino provides tools for examining and changing control point weights.
The knots are a list of degree+N-1 numbers, where N is the number of control points. Sometimes this list of numbers is called the knot vector. In this term, the word vector does not mean 3 D
This list of knot numbers must satisfy several technical conditions. The standard way to ensure that the technical conditions are satisfied is to require the numbers to stay the same or get larger as
you go down the list and to limit the number of duplicate values to no more than the degree. For example, for a degree 3 NURBS curve with 15 control points, the list of numbers
0,0,0,1,2,2,2,3,7,7,9,9,9 is a satisfactory list of knots. The list 0,0,0,1,2,2,2,2,7,7,9,9,9 is unacceptable because there are four 2s and four is larger than the degree.
The number of times a knot value is duplicated is called the knot’s multiplicity. In the preceding example of a satisfactory list of knots, the knot value 0 has multiplicity three, the knot value 1
has multiplicity one, the knot value 2 has multiplicity three, the knot value 7 has multiplicity two, and the knot value 9 has multiplicity three. A knot value is said to be a full multiplicity knot
if it is duplicated degree many times. In the example, the knot values 0, 2, and 9 have full multiplicity. A knot value that appears only once is called a simple knot. In the example the knot values
1 and 3 are a simple knots.
If a list of knots starts with a full multiplicity knot, is followed by simple knots, terminates with a full multiplicity knot, and the values are equally spaced, then the knots are called uniform.
For example, if a degree 3 NURBS curve with 7 control points has knots 0,0,0,1,2,3,4,4,4, then the curve has uniform knots. The knots 0,0,0,1,2,5,6,6,6 are not uniform. Knots that are not uniform are
called non uniform. The NU in NURBS stands for non uniform and indicates that the knots in a NURBS curve are permitted to be non-uniform.
Duplicate knot values in the middle of the knot list make a NURBS curve less smooth. At the extreme, a full multiplicity knot in the middle of the knot list means there is a place on the NURBS curve
that can be bent into a sharp kink. For this reason, some designers like to add and remove knots and then adjust control points to make curves have smoother or kinkier shapes. Rhino has tools for
removing and adding knots. Since the number of knots is equal to (N+degree 1), where N is the number of control points, adding knots also adds control points and removing knots removes control
points. Knots can be added without changing the shape of a NURBS curve. In general, removing knots will change the shape of a curve. Rhino provides an advanced knot removing interface that
automatically performs appropriate knot removal when a user deletes a control point.
A common misconception is that each knot is paired with a control point. This is true only for degree 1 NURBS (polylines). For higher degree NURBS, there are groups of 2 x degree knots that
correspond to groups of degree+1 control points. For example, suppose we have a degree 3 NURBS with 7 control points and knots 0,0,0,1,2,5,8,8,8. The first four control points are grouped with the
first six knots. The second through fifth control points are grouped with the knots 0,0,1,2,5,8. The third through sixth control points are grouped with the knots 0,1,2,5,8,8. The last four control
points are grouped with the last six knots.
Some modelers that use older algorithms for NURBS evaluation require two extra knot values for a total of degree+N+1 knots. When Rhino is exporting and importing NURBS geometry, it automatically adds
and removes these two superfluous knots as the situation requires.
The evaluation rule uses a mathematical formula that takes a number and assigns a point.
The formula involves the degree, control points, and knots. In the formula there are some things called B-spline basis functions. The BS in NURBS stands for B-spline. The number the evaluation rule
starts with is called a parameter. You can think of the evaluation rule as a black box that eats a parameter and produces a point. The degree, knots, and control points determine how the black box
Rhino has evaluation tools. You can select a NURBS curve, type in the value of the parameter, and produce the corresponding point.
Conceptually, the knots determine the B spline basis functions. The values of the B spline basis functions at the parameter determine how the control points and weights are averaged together to
produce a point. Detailed discussions of the evaluation rule and B spline basis functions are available in many textbooks and Web pages.
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Calculus BC: Series
One very useful application of calculus involves the approximation of a function by a sequence of polynomials called Taylor polynomials. Before diving into the topic of Taylor polynomials, it will be
wise to develop some of the general theory of series and their convergence. It is to this task that we devote the present chapter.
We begin by defining series and the notion of convergence, giving examples of series that do or do not converge. The primary method for determining whether or not a series converges is called the
comparison test. When applied in the context of geometric series, it gives rise to another method called the ratio test. The integral (that most versatile creature) gives rise to the integral test.
Alternating series come with their own test for convergence.
In conclusion, we anticipate our study of Taylor series by introducing power series, of which Taylor series are a special case. Power series contain a variable; whether or not they converge depends
upon what value is substituted for the variable. As we will see, the values for which a particular Taylor series converges can be given quite a simple characterization.
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Calculus/Integration techniques/Trigonometric Integrals
When the integrand is primarily or exclusively based on trigonometric functions, the following techniques are useful.
Powers of Sine and CosineEdit
We will give a general method to solve generally integrands of the form $\cos^m(x)\sin^n(x)$. First let us work through an example.
Notice that the integrand contains an odd power of cos. So rewrite it as
We can solve this by making the substitution $u=\sin(x)$ so $du=\cos(x)dx$. Then we can write the whole integrand in terms of $u$ by using the identity
$\begin{matrix} \int\cos^3(x)\sin^2(x)\,dx &=&\int\cos^2(x)\sin^2(x)\cos(x)\,dx\\ &=&\int (1-u^2)u^2\,du\\ &=&\int u^2\,du - \int u^4\,du\\ &=&{1\over 3} u^3+{1\over 5}u^5 + C\\ &=&{1\over 3} \
sin^3(x)-{1\over 5}\sin^5(x)+C \end{matrix}.$
This method works whenever there is an odd power of sine or cosine.
To evaluate $\int\cos^m(x)\sin^n(x)\,dx$ when either $m$ or $n$ is odd.
□ If $m$ is odd substitute $u=\sin(x)$ and use the identity $\cos^2(x)=1-\sin^2(x)=1-u^2$.
□ If $n$ is odd substitute $u=\cos(x)$ and use the identity $\sin^2(x)=1-\cos^2(x)=1-u^2$.
Find $\int_0^{\pi/2} \cos^{40}(x)\sin^3(x) dx$.
As there is an odd power of $\sin$ we let $u=\cos(x)$ so $du=-\sin(x)dx$. Notice that when $x=0$ we have $u=cos(0)=1$ and when $x=\pi/2$ we have $u=\cos(\pi/2) = 0$.
$\begin{matrix} \int_0^{\pi/2} \cos^{40}(x)\sin^3(x) dx &=& \int_0^{\pi/2} \cos^{40}(x)\sin^2(x) \sin(x) dx \\ &=& -\int_{1}^{0} u^{40} (1-u^2) du \\ &=&\int_{0}^{1} u^{40} (1-u^2) du\\ &=& \int_{0}^
{1} u^{40} - u^{42} du \\ &=& [\frac{1}{41}u^{41} - \frac{1}{43}u^{43}]_0^1 \\ &=& \frac{1}{41}-\frac{1}{43}. \end{matrix}$
When both $m$ and $n$ are even things get a little more complicated.
To evaluate $\int\cos^m(x)\sin^n(x)\,dx$ when both $m$ and $n$ are even.
Use the identities $\sin^2(x)=\frac{1}{2}(1-\cos(2x))$ and $\cos^2(x)=\frac{1}{2}(1+\cos(2x))$.
Find $\int\sin^2(x)\cos^4(x)\,dx.$
As $\sin^2(x)=\frac{1}{2}(1-\cos(2x))$ and $\cos^2(x)=\frac{1}{2}(1+\cos(2x))$ we have
$\int \sin^2(x)\cos^4(x)\,dx = \int \left( {1 \over 2}(1 - \cos(2x)) \right) \left( {1 \over 2}(1 + \cos(2x)) \right)^2 \,dx,$
and expanding, the integrand becomes
$\frac{1}{8} \int \left( 1 - \cos^2(2x) + \cos(2x)- \cos^3(2x) \right) \,dx.$
Using the multiple angle identities
$\begin{matrix} I & = & \frac{1}{8} \left( \int 1 \, dx - \int \cos^2(2x)\, dx + \int \cos(2x)\,dx -\int \cos^3(2x)\,dx \right) \\ & = & \frac{1}{8} \left( x - \frac{1}{2} \int (1 + \cos(4x))\,dx
+ \frac{1}{2}\sin(2x) -\int \cos^2(2x) \cos(2x) \,dx\right) \\ & = & \frac{1}{16} \left( x + \sin(2x) + \int \cos(4x) \,dx -2 \int(1-\sin^2(2x))\cos(2x)\,dx\right) \\ \end{matrix}$
then we obtain on evaluating
$I=\frac{x}{16}-\frac{\sin(4x)}{64} + \frac{\sin^3(2x)}{48}+C$
Powers of Tan and SecantEdit
To evaluate $\int\tan^m(x)\sec^n(x)\,dx$.
1. If $n$ is even and $n\ge 2$ then substitute $u=tan(x)$ and use the identity $\sec^2(x)=1+\tan^2(x)$.
2. If $n$ and $m$ are both odd then substitute $u=\sec(x)$ and use the identity $\tan^2(x)=\sec^2(x)-1$.
3. If $n$ is odd and $m$ is even then use the identity $\tan^2(x)=\sec^2(x)-1$ and apply a reduction formula to integrate $\sec^j(x)dx\,$, using the examples below to integrate when $j=1,2$.
Example 1Edit
Find $\int \sec^2(x)dx$.
There is an even power of $\sec(x)$. Substituting $u=\tan(x)$ gives $du = \sec^2(x)dx$ so
$\int \sec^2(x)dx = \int du = u+C = \tan(x)+C.$
Example 2Edit
Find $\int \tan(x)dx$.
Let $u=\cos(x)$ so $du=-\sin(x)dx$. Then
$\begin{matrix} \int \tan(x)dx &=& \int \frac{\sin(x)}{\cos(x)} dx \\ &=& \int \frac{-1}{u} du \\ &=& -\ln |u| + C \\ &=& -\ln |\cos(x) | + C\\ &=& \ln |\sec(x)| +C. \end{matrix}$
Example 3Edit
Find $\int \sec(x)dx$.
The trick to do this is to multiply and divide by the same thing like this:
$\begin{matrix} \int \sec(x)dx &=& \int \sec(x)\frac{\sec(x) + \tan(x)}{\sec(x) + \tan(x)} dx \\ &=& \int \frac{\sec^2(x) + \sec(x) \tan(x)}{\sec(x)+ \tan(x)} \end{matrix}.$
Making the substitution $u= \sec(x) + \tan(x)$ so $du = \sec(x)\tan(x) + \sec^2(x)dx,$
$\begin{matrix} \int \sec(x) dx &=& \int \frac{1}{u} du\\ &=& \ln |u| + C \\ &=& \ln |\sec(x) + \tan(x)| + C \end{matrix}.$
More trigonometric combinationsEdit
For the integrals $\int \sin(nx)\cos(mx)\,dx$ or $\int \sin(nx)\sin(mx)\,dx$ or $\int \cos(nx)\cos(mx)\,dx$ use the identities
□ $\sin(a)\cos(b) = {1\over 2}(\sin{(a+b)}+\sin{(a-b)}) \,$
□ $\sin(a)\sin(b) = {1\over 2}(\cos{(a-b)}-\cos{(a+b)}) \,$
□ $\cos(a)\cos(b) = {1\over 2}(\cos{(a-b)}+\cos{(a+b)}) \,$
Example 1Edit
Find $\int \sin(3x)\cos(5x)\,dx.$
We can use the fact that $\sin(a)\cos(b)=(1/2)(\sin(a+b)+\sin(a-b))$, so
$\sin(3x)\cos(5x)=(\sin(8x)+\sin{(-2x)})/2 \,$
Now use the oddness property of $\sin(x)$ to simplify
$\sin(3x)\cos{5x}=(\sin(8x)-\sin(2x))/2 \,$
And now we can integrate
$\begin{matrix} \int \sin(3x)\cos(5x)\,dx & = & \frac{1}{2} \int \sin(8x)-\sin(2x)dx \\ & = & \frac{1}{2}(-\frac{1}{8}\cos(8x)+\frac{1}{2}\cos(2x)) +C \\ \end{matrix}$
Example 2Edit
Find:$\int \sin(x)\sin(2x)\,dx$.
Using the identities
$\sin(x) \sin(2x)= \frac{1}{2} \left( \cos(-x)-\cos(3x) \right) = \frac{1}{2} (\cos(x) -\cos(3x)).$
$\begin{matrix} \int \sin(x)\sin(2x)\,dx & = & \frac{1}{2} \int (\cos(x)-\cos(3x))\,dx \\ & = & \frac{1}{2}(\sin(x)-\frac{1}{3}\sin(3x)) + C \end{matrix}$
Last modified on 22 February 2014, at 13:15
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More About Timing
Next: The Linear Equation Timing Up: Contents Previous: Input File for Testing   Contents
More About Timing
There are two distinct timing programs for LAPACK routines in each data type, one for the linear equations routines and one for the eigensystem routines. The linear equation timing program also times
the Level 2 and 3 BLAS, and the reductions to bidiagonal, tridiagonal, or Hessenberg form for eigenvalue computations. Results from the linear equation timing program are given in megaflops, and the
operation counts are computed from a formula (see Appendix C). Results from the eigensystem timing program are given in execution times, operation counts, and megaflops, where the operation counts
are calculated during execution using special versions of the LAPACK routines which have been instrumented to count operations. Each program has its own style of input, and the eigensystem timing
program accepts four different sets of parameters, for the generalized nonsymmetric eigenvalue problem, the nonsymmetric eigenvalue problem, the symmetric and generalized symmetric eigenvalue
problem, and the singular value decomposition. The following sections describe the different input formats and timing parameters.
Both timing programs, but the linear equation timing program in particular, are intended to be used to collect data to determine optimal values for the block routines. All of the block factorization,
inversion, reduction, and orthogonal transformation routines in LAPACK are included in the linear equation timing program. Currently, the block parameters NB and NX, as well as others, are passed to
the block routines by the environment inquiry function ILAENV, which in turn receives these values through a common block set in the timing program. Future implementations of ILAENV may be tuned to a
specific machine so that users of LAPACK will not have to set the block size. For a brief introduction to ILAENV and guidelines on setting some of the parameters, see the LAPACK Users' Guide [1].
The main timing procedure for the REAL linear equation routines is found in LAPACK/TIMING/LIN/stimaa.f in the Unix version and is the first program unit in SLINTIMF in the non-Unix version. The main
timing procedure for the REAL eigenvalue routines is found in LAPACK/TIMING/EIG/stimee.f in the Unix version and is the first program unit in SEIGTIMF in the non-Unix version.
Next: The Linear Equation Timing Up: Contents Previous: Input File for Testing   Contents Susan Blackford 2001-08-13
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Struct flatten
boost::proto::functional::flatten — A PolymorphicFunctionObject type that returns a "flattened" view of a Proto expression tree.
A PolymorphicFunctionObject type that returns a "flattened" view of a Proto expression tree. For a tree with a top-most node tag of type T, the elements of the flattened sequence are determined by
recursing into each child node with the same tag type and returning those nodes of different type. So for instance, the Proto expression tree corresponding to the expression a | b | c has a flattened
view with elements [a, b, c], even though the tree is grouped as ((a | b) | c).
The resulting view is a Fusion Forward Sequence.
flatten public member functions
1. template<typename Expr>
typename proto::result_of::flatten< Expr >::type const
operator()(Expr & expr) const;
Returns a Fusion Forward Sequence representing a flattened view of expr.
2. template<typename Expr>
typename proto::result_of::flatten< Expr const >::type const
operator()(Expr const & expr) const;
Returns a Fusion Forward Sequence representing a flattened view of expr.
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On the number of
A. Hajnal, Zs. Nagy, L. Soukup:
On the number of certain subgraphs of graphs without large cliques and independent subsets
A graph G=<V,E> without cliques or independent subsets of size |V| is called non-trivial. We say that G= <V,E> is almost-smooth iff it is isomorphic to G[V-W] whenever W is a subset of V with |W| < |
V|. Given a graph G= <V,E> denote by I(G) the set of all isomorphism classes of induced subgraphs of cardinality |V|. It is shown that
• |I(G)|>=2^omega for each non-trivial graph G=<omega_1,E>.
• under principle Diamond^+ there is a non-trivial graph G=<omega_1,E> with |I(G)|=omega_1.
• the existence of a non-trivial, almost-smooth graph on omega_1 is consistent with different set-theoretical assumptions.
• under principle Diamond^+ there exists a family F of countable subsets of omega_1 which is non-trivial in a certain sense, and which is isomorphic to {B \in F: B \subset A} whenever A \subset
omega_1 is an uncountable set.
Downloading the paper
gzipped tex file (21709 bytes)
gzipped dvi file (49419 bytes) appeared in "A Tribute to Paul Erdos ", e.d. A Baker, B. Bollobás, A. Hajnal, Cambridge University Press, 1990, p. 223-248.
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Homework Help
Posted by Jane on Friday, January 1, 2010 at 5:53am.
Please can you expand and simplify the following:
Many thanks.
Happy New Year
• Maths - drwls, Friday, January 1, 2010 at 6:17am
Learn and apply the FOIL method.
(First, Outside, Inside, Last)
That describes the pairs of terms that you must multiply and then add together.
To learn algebra, you really need the practice doing this yourself
• Maths - chelsea, Friday, January 1, 2010 at 6:29am
surely, it would be x^3-2x-15
please correct me if i'm wrong
• Maths (chelsea) - drwls, Friday, January 1, 2010 at 6:32am
Chelsea is wrong. Only the -15 term is correct. There is no cubic (x^3) term
• Maths - Jane, Friday, January 1, 2010 at 6:38am
i looked at the site, now i'm really confused, could you just show me the answer and working out, we haven't done the foil method in school we do it differently.
• Maths - drwls, Friday, January 1, 2010 at 6:42am
What you are doing in school must be the same thing, perhaps with a different name.
Why do you keep changing your name?
When you multiply the first pair you get
2x * x = 2x^2
That is the first term.
When you multiply the "inside" pair you get -5x
Now you do the others and combine terms.
• Maths - drwls, Friday, January 1, 2010 at 6:50am
The answer you should get is
2x^2 +x -15
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how to calculate frequency
pls tel me how to calculate the frequency of a wave of wavelength 12cm the initial power being 255, 425, 850W
The speed of light and other Electromagnetic waves os 300 000 000 meters per second.
So, the frequency of this wave (in Hz) is 300 000 000 / 0.12 meters.
That is 2500 MHz.
The power levels look like they might have come from a microwave oven label, but they would not affect the frequency.
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What is the likehood function in the noise free observation case
up vote 0 down vote favorite
In the nonlinear Bayesian Tracking problem, if we consider the noise exists only in the state equation : x[k] = f(x[k-1],v[k-1]) where vk-1 here is an iid process noise sequence
And we suppose that the measurement is directly and noise free observed, that means z[k] = h(x[k])
What is the likelihood function p( z[k] | x[k] ) in this case?
st.statistics bayesian
add comment
2 Answers
active oldest votes
A likelihood function is typically a function of a parameter. It is not clear what the parameter in your setting is.
However, likelihood functions in Bayesian models often corresponds with a conditional probability density functions, and so perhaps you are asking what the conditional density of $z_k$ given
$x_k$ is. This would be the first step in preparing to use Bayes rule to calculate the conditional distribution of $x_k$ given $z_k$. Unfortunately, your problem will not have a conditional
probability density if the set of values $H$ that $h(x_k)$ can take is uncountable.
This is because the conditional probability of $z_k$ given $x_k$ satisfies $\Pr[z_k|x_k]= \delta_{h(x_k)}$ a.s., and the set of measures $\{\delta_y\}_{y \in H}$ is not dominated when $H$ is
up vote uncountable, i.e., there is no $\sigma$-finite measure $\nu$ such that $\nu(A) = 0 \implies \delta_y(A) = 0$ for all measurable sets $A \subseteq H$ and points $y \in H$. If $h$ takes values
0 down in $\mathbb R$, and $z_k$ were to be corrupted by, say, independent additive Gaussian noise, then Lebesgue measure would dominate the family of measures underlying the conditional
vote distribution, and so you would have a conditional density.
When the family of probability measures underlying a conditional distribution is not dominated, then you cannot even use Bayes rule. Of course, there may be a rather simple model for the
conditional distribution of $x_k$ given $z_k$ which you could check satisfies the definition of a conditional distribution of $z_k$ given $x_k$. Namely, $x_k$ is distributed according to its
marginal distribution, but restricted to the set $h^{-1}(z_k)$.
add comment
The likelihood really isn't relevant without noise, but probably the right answer, in some sense, and assuming you mean h to be a known function, is that the likelihood is 1 if z[k]
up vote 0 down = h(x[k]) and 0 otherwise.
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Not the answer you're looking for? Browse other questions tagged st.statistics bayesian or ask your own question.
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Recent developments in computational aeroacoustics.
ASA 130th Meeting - St. Louis, MO - 1995 Nov 27 .. Dec 01
2aNS1. Recent developments in computational aeroacoustics.
Lyle N. Long
Penn State Univ., 233 Hammond Bldg., University Park, PA 16802
There is renewed interest in predicting aeroacoustic noise, especially for jets, rotating blades, and shock waves. These flows involve nonlinear, three-dimensional, turbulent phenomena, and
nonuniform free streams. Simulating these flows requires algorithms quite different than those traditionally used in computational fluid dynamics (CFD). The time-dependent nature of aeroacoustic
problems requires the algorithm to correctly simulate the dispersion and dissipation features of the flow. Good CFD algorithms usually rapidly damp out all but the steady-state portion of the flow,
and are inappropriate for aeroacoustics. Computational aeroacoustics schemes have more in common with large eddy simulation (LES) algorithms than those used in CFD. Recent progress in higher-order
algorithms for supersonic jets [T. S. Chyczewski and L. N. Long, 16th AIAA Aeroacoustics Conference, Paper 95-011 (1995)] and fan noise [Y. Ozyoruk and L. N. Long, 16th AIAA Aeroacoustics Conference,
Paper 95-063 (1995)] illustrates that quite complicated aeroacoustic problems can be simulated. These algorithms require roughly 5-10 grid points per wavelength. The large demand on computer memory
and speed requires that one use modern parallel computers, such as the IBM SP2 and the TMC CM-5. One must be careful to properly load balance the scheme and to minimize interprocessor communication.
Kirchhoff surfaces are very effective in predicting the far-field solution.
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Hasan Amjad
Hasan Amjad
University of Cambridge Computer Laboratory
15 JJ Thomson Avenue
Cambridge CB3 0FD
United Kingdom
Tel.: +44 (01223) 763602
e-mail : ha227 at cam dot ac dot uk
DATE OF BIRTH 25th January, 1975
NATIONALITY British & Pakistani
Nov. 2008 to date Analyst, Cantab Capital Partners LLP, Cambridge, UK
Aug. 2007 to date Visiting Fellow, Computer Laboratory, University of Cambridge, UK
Aug. 2007 to Nov 2008 Research Associate, School of Computing, Middlesex University, UK
Oct. 2003 to Jul. 2007 Research Assistant/Associate, Computer Laboratory, University of Cambridge, UK
June 2001 to Aug. 2001 Summer Intern, Compaq Cambridge Research Labs, USA
Nov.1999 to Aug. 2000 3D Graphics Developer, Align Technology Inc., Pakistan
2008 PC member, Theorem Proving in Higher Order Logics (TPHOLs)
2007- Member, SMT-LIB working group on proof format standardisation
Oct. 2000 to Sep. 2004 Ph.D. Computer Science
Automated Reasoning Group, Computer Laboratory, University of Cambridge, UK
Oct. 1998 to Oct. 1999 M.Sc. Mathematics and the Foundations of Computer Science
Mathematical Institute, University of Oxford, UK
Aug. 1994 to May 1997 B.Sc. (Hons.) Computer Science
Dept. of Computer Science, Lahore University of Management Sciences, Pakistan
2003 Trinity College (Cambridge) Graduate Studentship
2000 Trinity College (Cambridge) External Research Studentship (3 years)
Overseas Research Scholar Award (3 years)
Commonwealth Scholarship (Honorary)
Commonwealth Fellow
Merton College (Oxford) Harmsworth-Domus Graduate Scholarship (Declined)
1999 Worcester College (Oxford) Cash Prize for Academic Performance
Distinction in M.Sc. MFOCS programme (Oxford University, top candidate)
1996 Dean's Honours List
Oct. 2004 to date Integration of SAT/SMT solvers and interactive theorem provers; propositional proof compression; analysis of concurrent heap-manipulating programs.
Oct. 2000 to Sep. 2004 For Ph.D., developed a self-verifying model checker in the HOL theorem prover. This work was supervised by Professor M. J. C. Gordon FRS.
Oct. 1998 to Sept. 1999 For M.Sc., constructed a categorical model of classical linear logic using Hoare's CSP. This work was supervised by Dr. C-H. L. Ong.
Oct. 2004 to date Research Assistant/Associate
Computer Laboratory, University of Cambridge, UK
In addition to supervisions, acted as moderator for second-year Discrete Maths problem solving seminars ( 15 students per session).
Taught Theory and Semantics Mini-Course titled Formal Verification Techniques.
Oct. 2000 to Sep. Research Student
Computer Laboratory, University of Cambridge, UK
Conducted undergraduate supervisions for the following courses: Concurrency, Natural Language Processing, Denotational Semantics, Theory of Computation and Quantum Computing.
July 1997 to July Teaching Assistant in Computer Science
Lahore University of Management Sciences, Pakistan
Conducted undergraduate tutorials for the following courses: Calculus, Statistics, Probability, Operations Research, Automata, Complexity Theory and Compilers (50-100 students per
tutorial). Also helped set and mark exams for these courses.
Hasan 2008-11-06
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Solve X with e
Re: Solve X with e
Have you tried doing this:
ln(x+3)=6, so
I just raised the number e to both sides, so that we can get rid of the logarithm in the next step.
Can you do it from here?
The limit operator is just an excuse for doing something you know you can't.
“It's the subject that nobody knows anything about that we can all talk about!” ― Richard Feynman
“Taking a new step, uttering a new word, is what people fear most.” ― Fyodor Dostoyevsky, Crime and Punishment
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Woodbury, NJ Math Tutor
Find a Woodbury, NJ Math Tutor
...I have 14 years' experience teaching in New Jersey. I have taught all subjects over the years and most grades between Kindergarten and 8th grade. I have three certifications: Elementary School
Teacher, Teacher of Business, and Reading Specialist.
23 Subjects: including prealgebra, reading, English, writing
...Students I tutor are mostly college-age, but range from middle school to adult. As a tutor with multiple years of experience tutoring people in precalculus- and calculus-level courses,
tutoring precalculus is one of my main focuses. With a physics and engineering background, I encounter math at and above this level every day.
9 Subjects: including algebra 1, algebra 2, calculus, geometry
Hello! I am in my 7th year as a local high school physics teacher. I graduated from the University of Maryland in 2007 with a degree in physics and I have been teaching ever since.
4 Subjects: including algebra 1, algebra 2, geometry, physics
...I can teach its uses, its advantages and disadvantages, and how to use it. I can teach glazes and washes, along with the color theory necessary to take proper advantage of acrylic paint's
translucency (or lack thereof). In my own time, I paint both abstract and realistic work, so I can help te...
19 Subjects: including algebra 1, algebra 2, calculus, grammar
...Please feel free to contact me with any question. I will happily speak with you to and discuss your tutoring needs to see if we are a "good fit." I will design an approach to learning that is
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Symmetric measures via moments
Alexey Koloydenko
(2004) Eurandom, Eindhoven, The Netherlands.
A finite $G\le GL(m,\mathbb{R})$ fixes $\Omega \subset \mathbb{R}^m$ and induces its action on $\mathcal{P}$, the set of probability distributions on $\Omega$. $\mathcal{P}^G$ is the set of
distributions invariant under this action. We consider models based on $\mathcal{P}^G$. Ignoring the invariance, a common approach to modeling $P\in\mathcal{P}$ is to progressively match its moments.
Among all distributions with a requested match, one reasonable choice is $P'$ that maximizes the entropy $H(P')$. Matching in the limit all the moments guarantees convergence to $P$ if $P$ is
uniquely determined by its moments. We thereby generalize ordinary determinacy to determinacy within $\mathcal{P}^G$ and prove sufficiency of $G$-invariant moments for the latter. Using generators of
$G$-invariant polynomials, we also give several sufficient conditions for the generalized property to hold. For applications, we propose a sequential procedure with adaptive convergence toward $P$.
The procedure combines with one's favorite statistical model selection principle, and we present two such examples. We also describe a distribution of small subimages extracted from a large database
of natural images, and compute generators for the relevant invariance. We discuss computations of $G$-invariant probability distributions. For example, concerned with computational efficiency, we
lift the invariantly constrained entropy maximization problem to an appropriate quotient space of ``lower dimension''.
PDF - Requires Adobe Acrobat Reader or other PDF viewer.
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Interactive Math
= Preview Document = Member Document = Pin to Pinterest
Two graph exercises. Exercise 1, based on the coordinates given, drag the Christmas items to the correct places on the graph. Exercise 2, identify which items arte at given coordinates.
Interactive .notebook file for Smart Board or Notebook viewer. Includes related printable version.
Interactive notebook activity where students move, take away and count objects to build subtraction equations. Correlated with the common core curriculum math standards. Common Core Math: K.CC.5,
K.OA.1, K.OA.2, 1.OA.5, 1.OA.6
Interactive notebook activity where students use objects to compose numbers from 11 to 19, trace the number sentence and solve the problem. Common Core Math: K.NBT.1
Interactive notebook activity where students count the Christmas-themed items using the ten frames chart. Click and reveal answer key. Common Core: Math: K.CC.B.4
• Practice simple addition problems with this interactive activity.
Place the shapes on the 5x5 grid. Use on a Smart Board, or play on your computer using the Notebook Viewer. http://www2.smarttech.com/st/en-US/Support/Downloads/Notebook+IV/
"Ask a Genius"-- Find out or review basic facts about the metric system. Interactive .notebook file for Smart Board.
Practice x2 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
• Practice x1 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
Students trace numbers, set up number sentences with objects, and solve the problem.
Touch the appropriate number of images to make them disappear, then count how many are left. Interactive .notebook file for Smart Board. Students fill in missing differences for illustrated basic
subtraction facts number sentences.
Touch the appropriate number of images to make them disappear, then count how many are left. Interactive .notebook file for Smart Board. Students fill in missing differences for illustrated basic
subtraction facts number sentences.
Practice reading numerals and counting orally with this fun Notebook file.
• Interactive notebook file with a set of algebra problems for upper elementary, comes with a multiple choice quiz. Common Core Math: 5.OA.1
Definition and activities with exponents.. Interactive .notebook file. Use with Smart Board, or Notebook Viewer. Includes related printable pdf. document.
Define and work properties of addition and multiplication. Interactive .notebook file.Use with Smart Board, or Notebook Viewer. Includes related printable pdf. document and poster.
Interactive Notebook activity for elementary level. Learn basic addition from 1-10 with a fun Apple Orchard theme.
Interactive Ghost Hunt Notebook activity for students to learn decimal to fraction equivalents (.2, .25, .4, .5, .34).
Common Core: 6.NS.3
Interactive Notebook activity with a colorful juggling theme. Solve the problems on each page.
Interactive Notebook activity with a colorful juggling theme. Solve the subtraction problems.
• Interactive Notebook activity with a fun and colorful Easter egg theme. Help Sammy the skateboarder complete the patterns by dragging the correct color eggs in place.
Interactive notebook activity where students move, group and count objects to build addition equations. Correlated with the common core curriculum math standards. Common Core Math: K.CC.5,
K.OA.1, 1.OA.5, 1.OA.6
Interactive notebook activity where students move objects to decompose numbers from 11 to 19, trace the subtraction number sentence and solve the problem. Common Core Math: K.NBT.1
Interactive .notebook lesson with a candy heart theme for Valentine's Day. Students will drag candy hearts in order to complete addition problems on each page. Includes printable ten frames
worksheet. Common Core: Math: K.CC.B.4
• Interactive .notebook file, graphing coordinates activity. Use with Smart Board, or Notebook Viewer
Interactive .notebook file. Use with Smart Notebook software or viewer. Graph Coordinates.
Practice x3 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
Practice x9 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
Solve for X. Self-checking. Interactive .notebook file for Smart Board. Upper elementary and middle school. Common Core Math: 5.OA.1 , Common Core_Math_6.EE.A.1
Interactive Notebook activity that can be used year round to reinforce division quotients of 5,6,7 and 8.
Interactive Notebook activity/game called Animal Trackers. Find and locate the animals by practicing addition problems with the numbers 2-20.
• Interactive Notebook activity. Review basic addition with this basketball-themed board game. Each player rolls the dice and the first one to reach the basket wins.
Smart notebook activity for Pre k- 1st. Counting and addition skills. Thanksgiving theme with pumpkins and pumpkin pie graphics.Common Core: K.CC.B.5 Counting and Cardinality
Interactive .notebook lesson with over ten pages of simple addition and subtraction problems. Includes answer keys and printable PDF worksheets. Students look at the rule in order to fill in the
missing outputs.
Interactive .notebook activity where students must look at the rule in order to solve the output boxes by using basic multiplication skills. Includes printable PDF worksheet and answer key.
Seven colorful math pages for practice in addition within 20. May be used for student practice or to model use of corresponding printable math mats. CC: Math: 1.OA.A.1-2, B.3-4, C.5-6, D.7-8
• Interactive addition and number recognition with a Space theme. Use with Smart Board or Notebook Viewer.
Match metric prefixes with their symbol and their multiplier. Interactive .notebook file for Smart Board.
• Practice x5 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
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Calculating the Formula Mass of a Compound - Activity
Many chemical calculations partly involve calculating the formula or molecular mass of a compound. To calculate the formula mass of a compound you not only need to know its formula, but you must also
be able to interpret the symbols, numbers, and brackets in the formula.
The formula mass is calculated by adding up all the atomic masses for every atom in the formula.
Note: The atomic mass of an atom is the atom's mass relative to 1/12th of the mass of a carbon-12 atom on which the standard atomic mass scale is based (e.g. H = 1, C = 12, P = 31 etc).
Task 1: Working out some formula masses
1. Open Yenka file Model 1.
2. Look at the copper sulfate example that has been worked out for you. Open the Periodic Table and use it to get the atomic masses of the elements, then calculate the formula masses for the
following compounds:
(a) Lead(II) chloride, PbCl[2]
(b) Aluminium oxide, Al[2]O[3]
(c) Ammonium nitrate, NH[4]NO[3]
(d) Sodium thiosulphate, Na[2]S[2]O[3]
(a) 278; (b) 102; (c) 80; (d) 158
Task 2: Calculating formula mass when the formula needs brackets
1. Calcium hydroxide has the formula Ca(OH)[2]. The subscript number after the brackets multiplies whatever is in the brackets (a bit like in maths).
Atomic masses: Ca = 40; O = 16; H = 1
So the formula mass = 40 + (16 + 1) x 2 = 74
Now work out the formula mass of lead nitrate, Pb(NO[3])[2]
Start a new model in Yenka and verify your answer using a beaker of lead nitrate.
Formula mass of lead nitrate is 331 (331g = 1 mole).
2. Now work out the formula mass for:
(a) Ammonium sulfate, (NH[4])[2]SO[4]
(b) Iron(II) nitrate, Fe(NO[3])[2]
(c) Aluminium sulfate, Al[2](SO[4])[3]
(a) 132; (b) 180; (c) 342
The formula mass is calculated by adding up all the atomic masses for every atom in the formula. Calculating the formula mass is an essential part of many calculations and requires the correct
reading and interpretation of a chemical formula.
You can test yourself further on calculating formula masses on Doc Brown's website.
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Genus of a graph
up vote 4 down vote favorite
Let $G$ is a simple undirected graph. Suppose $G$ has two subgraphs $G_1$ and $G_2$, such that $E(G_1)\cap E(G_2) =\emptyset$ ($E(G_i)$, stand for the set of edges of $G_i$). Then is it true that
genus of $G$ is greater than or equal to the sum of genera of $G_1$ and $G_2$?
add comment
1 Answer
active oldest votes
No. The two subgraphs can share the surface more efficiently than that. Take a graph $G$ with genus $g\ge 1$ and duplicate each edge. If you don't like double edges, subdivide them
with new vertices. Then you can divide the new graph into two edge-disjoint subgraphs homeomorphic to $G$, therefore each having genus $g$, yet you can still draw the whole graph on
up vote 9 down the same surface.
vote accepted
Thank you so much – bor Feb 5 at 5:28
add comment
Not the answer you're looking for? Browse other questions tagged graph-theory or ask your own question.
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A. Coordinate system
B. Conjugate gradient
C. Potential energy surfaceinterpolation
D. Modified-GSM algorithm
E. Hybrid low-level/high-level strategy
A. Müller–Brown potential energy surface
B. Alanine dipeptideisomerization
C. H-abstraction in isolated vanadate sites supported on silica
D. C–H bond activation in the oxidative carbonylation of toluene to -toluic acid
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Interactive Math
= Preview Document = Member Document = Pin to Pinterest
Two graph exercises. Exercise 1, based on the coordinates given, drag the Christmas items to the correct places on the graph. Exercise 2, identify which items arte at given coordinates.
Interactive .notebook file for Smart Board or Notebook viewer. Includes related printable version.
Interactive notebook activity where students move, take away and count objects to build subtraction equations. Correlated with the common core curriculum math standards. Common Core Math: K.CC.5,
K.OA.1, K.OA.2, 1.OA.5, 1.OA.6
Interactive notebook activity where students use objects to compose numbers from 11 to 19, trace the number sentence and solve the problem. Common Core Math: K.NBT.1
Interactive notebook activity where students count the Christmas-themed items using the ten frames chart. Click and reveal answer key. Common Core: Math: K.CC.B.4
• Practice simple addition problems with this interactive activity.
Place the shapes on the 5x5 grid. Use on a Smart Board, or play on your computer using the Notebook Viewer. http://www2.smarttech.com/st/en-US/Support/Downloads/Notebook+IV/
"Ask a Genius"-- Find out or review basic facts about the metric system. Interactive .notebook file for Smart Board.
Practice x2 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
• Practice x1 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
Students trace numbers, set up number sentences with objects, and solve the problem.
Touch the appropriate number of images to make them disappear, then count how many are left. Interactive .notebook file for Smart Board. Students fill in missing differences for illustrated basic
subtraction facts number sentences.
Touch the appropriate number of images to make them disappear, then count how many are left. Interactive .notebook file for Smart Board. Students fill in missing differences for illustrated basic
subtraction facts number sentences.
Practice reading numerals and counting orally with this fun Notebook file.
• Interactive notebook file with a set of algebra problems for upper elementary, comes with a multiple choice quiz. Common Core Math: 5.OA.1
Definition and activities with exponents.. Interactive .notebook file. Use with Smart Board, or Notebook Viewer. Includes related printable pdf. document.
Define and work properties of addition and multiplication. Interactive .notebook file.Use with Smart Board, or Notebook Viewer. Includes related printable pdf. document and poster.
Interactive Notebook activity for elementary level. Learn basic addition from 1-10 with a fun Apple Orchard theme.
Interactive Ghost Hunt Notebook activity for students to learn decimal to fraction equivalents (.2, .25, .4, .5, .34).
Common Core: 6.NS.3
Interactive Notebook activity with a colorful juggling theme. Solve the problems on each page.
Interactive Notebook activity with a colorful juggling theme. Solve the subtraction problems.
• Interactive Notebook activity with a fun and colorful Easter egg theme. Help Sammy the skateboarder complete the patterns by dragging the correct color eggs in place.
Interactive notebook activity where students move, group and count objects to build addition equations. Correlated with the common core curriculum math standards. Common Core Math: K.CC.5,
K.OA.1, 1.OA.5, 1.OA.6
Interactive notebook activity where students move objects to decompose numbers from 11 to 19, trace the subtraction number sentence and solve the problem. Common Core Math: K.NBT.1
Interactive .notebook lesson with a candy heart theme for Valentine's Day. Students will drag candy hearts in order to complete addition problems on each page. Includes printable ten frames
worksheet. Common Core: Math: K.CC.B.4
• Interactive .notebook file, graphing coordinates activity. Use with Smart Board, or Notebook Viewer
Interactive .notebook file. Use with Smart Notebook software or viewer. Graph Coordinates.
Practice x3 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
Practice x9 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
Solve for X. Self-checking. Interactive .notebook file for Smart Board. Upper elementary and middle school. Common Core Math: 5.OA.1 , Common Core_Math_6.EE.A.1
Interactive Notebook activity that can be used year round to reinforce division quotients of 5,6,7 and 8.
Interactive Notebook activity/game called Animal Trackers. Find and locate the animals by practicing addition problems with the numbers 2-20.
• Interactive Notebook activity. Review basic addition with this basketball-themed board game. Each player rolls the dice and the first one to reach the basket wins.
Smart notebook activity for Pre k- 1st. Counting and addition skills. Thanksgiving theme with pumpkins and pumpkin pie graphics.Common Core: K.CC.B.5 Counting and Cardinality
Interactive .notebook lesson with over ten pages of simple addition and subtraction problems. Includes answer keys and printable PDF worksheets. Students look at the rule in order to fill in the
missing outputs.
Interactive .notebook activity where students must look at the rule in order to solve the output boxes by using basic multiplication skills. Includes printable PDF worksheet and answer key.
Seven colorful math pages for practice in addition within 20. May be used for student practice or to model use of corresponding printable math mats. CC: Math: 1.OA.A.1-2, B.3-4, C.5-6, D.7-8
• Interactive addition and number recognition with a Space theme. Use with Smart Board or Notebook Viewer.
Match metric prefixes with their symbol and their multiplier. Interactive .notebook file for Smart Board.
• Practice x5 multiplication tables with this fun, colorful game. Interactive .notebook file for Smart Board.
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Quaternions and Rotation?
March 20th 2011, 02:41 PM #1
Junior Member
Oct 2010
Quaternions and Rotation?
I got this question in my Group Theory class and I'm not really sure how to go about it because I never really understood quaternions in the first place!
Let v be the unit vector ( $\frac{1}{\sqrt{3}},-\frac{1}{\sqrt{3}},\frac{1}{\sqrt{3}}$)
and let R be the rotation through angle $60^\circ$ anticlockwise around Ov
Calculate R(1,0,0) by conjugating a quaternion.
Thanks for any help you can give me!
P.S. That one in the first part of the vector should be on top, I couldn't get the MATH tags to wrok properly
You are in my class, it appears. Unless our lecturer steals his questions from elsewhere.
Section 23.4 in his notes cover this question pretty much perfectly.
Oh well that's handy what section is relevant to question 3, do you know??
I'm not sure if one is. I posted a thread here earlier looking for an answer, but nobody has responded yet.
The problem with that is that I have no idea where to start. I don't know how to calculate a unitary matrix from a quaternion (in actuality I have no idea how to form ANY matrix from a
quaternion) and so without that basic knowledge can do no work. It's fairly elementary. I'm not asking for the answer to the question, just a piece of basic knowledge from which I can do some
Last edited by Ackbeet; March 21st 2011 at 05:30 PM. Reason: Deleted objectionable material.
I got this question in my Group Theory class and I'm not really sure how to go about it because I never really understood quaternions in the first place!
Let v be the unit vector ( $\frac{1}{\sqrt{3}},-\frac{1}{\sqrt{3}},\frac{1}{\sqrt{3}}$)
and let R be the rotation through angle $60^\circ$ anticlockwise around Ov
Calculate R(1,0,0) by conjugating a quaternion.
Thanks for any help you can give me!
P.S. That one in the first part of the vector should be on top, I couldn't get the MATH tags to wrok properly
Every rotation of $\mathbb{Re}^3$, given by the axis u and the angle of rotation $\alpha$, is the result of conjugation by unit quaternions $t=cos\frac{\alpha}{2}+\vec{u}sin\frac{\alpha}{2}$ (see
here). Now you have $\vec{u}$, $\alpha=-\frac{\pi}{3}$, and $v=(0, 1, 0, 0)$ in the link. Can you proceed from here?
Note also that unit quarternions described by matrix (a+bi,c+di;-c+di,a-bi)=a1+bi+cj+dk, where 1=(1,0;0,1), i=(0, -1;1,0), j=(0, -i;-i,0), k=(i,0;0,-i) forms a group under multiplication which is
isomorphic to SU(2) (see here).
March 20th 2011, 03:15 PM #2
Mar 2011
March 20th 2011, 03:42 PM #3
Junior Member
Oct 2010
March 20th 2011, 03:46 PM #4
Mar 2011
March 20th 2011, 03:48 PM #5
MHF Contributor
Mar 2010
March 20th 2011, 04:19 PM #6
Mar 2011
March 21st 2011, 01:48 AM #7
May 2010
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3D Collisions
Hands-On, Minds-On Meteorology
Description | Programming | Operation
3D Collisions
This will detail the theory put into the code for 3 dimensional collisions. The need for such programming came from needing to be able to predict a 3D angle and speed for two particles
When two particles contact each other, the force between the molecules is directed along an imaginary line that connects their centers. If you rotate your frame of reference so this
center-line is aong the x-axis, this is simply a 1-D collision problem, where in an elastic collision, the forces acting upon each other are just switched (in equal mass cases -- this code
does mass-weight the vector switching for colliders with unequal masses, which is not reflected in the equations).
The steps used in this case are as follows: Colliders at impact
1. Determine the 3D angle between the two colliders.
2. Calculate the colliders' force vectors towards each other.
3. Decompose this vector into x'-y'-z' components, where x' is aligned with the center-line.
4. Before switching the colliders' force vectors, determine the force vector normal to the
center-line so we can recompose the new collision.
5. Switch the colliders' force vectors.
6. Compose the new vectors into a new velocity.
Step 1: Determine the 3D angle between the two colliders. Component of velocity directed from one collider to the other is calculated.
Step 2: Calculate the colliders' force vectors towards each other.
Step 3: Decompose this vector into x'-y'-z' components, where x' is aligned with the center-line.
Step 4: Before switching the colliders' force vectors, determine the force vector normal to the
center-line so we can recompose the new collision. Component of velocity perpendicular to center-line is calculated.
Step 4: Switch the colliders' force vectors.
The colliders' velocity vectors that are parallel to the center-line are switched.
(Mass-weighting applied if different masses)
Step 5: Compose the new vectors into a new velocity.
New velocity is calculated by reconstructing new vectors.
1) All collisions are elastic.
2) All particles are perfect spheres.
3) That the objects can come closer than the sum of the radii of the two particles.
4) Only two particles can collide at a time. If three technically hit together, the particle with the lowest array index will collide with the second lowest, then separately with the next
lowest. Then, if the second is still close enough to the third, a third collision will result.
All equations can be found in the theory.
Running the Program
The following programs use the 3D Collisoions in their code. ParcelSet* code.
│ Program │Name of program's main file│Name of file with 3D Collisons included (referred by main program file) │
│ Condensation │ Cond.java │ ParceSetCond.java │
│ Evaporation │ Evap.java │ ParcelSetEvap.java │
│ Lifting Air (Dry) │ Ad1.java │ ParcelSetAd1.java │
│ Lifting Air (Moist) │ Ad2.java │ ParcelSetAd2.java │
│Lifting Air (Moist w/Sounding)│ Ad3.java │ ParcelSetAd3.java │
│ Temperature │ Temp.java │ ParcelSetTemp.java │
│ Temperature (Large) │ Temp800.java │ ParcelSetTemp800.java │
Department of Atmospheric Sciences
University of Illinois at Urbana Champaign
Created by Dan Bramer: Last Modified 07/27/2004
send questions/comments to bramer@atmos.uiuc.edu
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model structure on reduced simplicial sets
Model category theory
Universal constructions
Producing new model structures
Presentation of $(\infty,1)$-categories
Model structures
for $\infty$-groupoids
for $n$-groupoids
for $\infty$-groups
for $\infty$-algebras
for stable/spectrum objects
for $(\infty,1)$-categories
for stable $(\infty,1)$-categories
for $(\infty,1)$-operads
for $(n,r)$-categories
for $(\infty,1)$-sheaves / $\infty$-stacks
The model structure on reduced simplicial sets is a presentation of the full sub-(∞,1)-category
∞Grpd${}^{*/}_{\geq 1} \hookrightarrow$∞Grpd${}^{*/}$$\simeq$Top${}^{*/}$
of pointed ∞-groupoids on those that are connected.
By the looping and delooping-equivalence, this is equivalent to the (∞,1)-category of ∞-groups and this equivalence is presented by a Quillen equivalence to the model structure on simplicial groups.
This appears as (GoerssJardine, ch V, prop. 6.2).
The simplicial loop space functor $G$ and the delooping functor $\bar W(-)$ (discussed at simplicial group) constitute a Quillen equivalence
$(G \dashv \bar W) : sGr \stackrel{\overset{G}{\leftarrow}}{\underset{\bar W}{\to}} sSet_0$
with the model structure on simplicial groups.
This appears as (GoerssJardine, ch. V prop. 6.3).
Under the forgetful functor $U : sSet_0 \hookrightarrow sSet$
• a fibration $f : X \to Y$ maps to a fibration precisely if it has the right lifting property against $* \to S^1 := \Delta[1]/ \partial \Delta[1]$;
In particular
• every fibrant object maps to a fibrant object.
The first statment appears as (GoerssJardine, ch. V, lemma 6.6.). The second (an immediate consequence) appears as (GoerssJardine, ch. V, corollary 6.8).
A standard textbook reference is chapter V of
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Post a reply
Cx = Ax + 50 cos(arctan(slope))
Cy = Ay + 50 sin(arctan(slope))
Haven't really check to see if these are the right answers, I'm just going to assume they are. Oh, and if speed of your program doesn't matter, none of the below will...
sin and cos are normally very slow functions (depending on how your compiler implements them). Always try to avoid using them if possible. But, if you have to use them, heres how:
Using sin and arctan functions in whatever language your using, generate a file that just lists these values of certain numbers. If you were doing it in C++, it would be:
Now generate that file for whatever trig functions you are using. Then, in the beginning of your program, you load up these data values into a hash table. From this, you can then approximate each
trig function in O(1) time, which means constant time, the fastest you can get. I picked the value PI/720. This will generate a fairly small file (1440 lines). You can use higher values such as PI/
1000 or even PI/2000, and you will get a very close approximation. With 2000, that will probably be as close an approximation as just sin(x) is.
The downside of using larger variable is that it uses more hard drive space (the file) and it uses more RAM (the hash table).
Edit: If you wish to do this, but got lost in my mumbo jumbo, just say so. I'm going to be doing this very soon for a project of my own (Pool, aka billards), so I might as well do it now.
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Why Use Letters in Math?
Date: 12/01/1999 at 12:52:34
From: Jamie Funk
Subject: Algebra 1 question
I've been in Algebra for lots of years and I haven't quite grasped the
concept of why we need to use letters in math.
Date: 12/01/1999 at 16:45:18
From: Doctor Rick
Subject: Re: Algebra 1 question
Hi, Jamie.
We don't really need to use letters, but we need to use some sort of
symbols in order to write down what we're thinking. Numerals are
symbols for numbers that we know. We usually use letters as symbols
for numbers that we don't know - which we call variables. (Sometimes
we use a letter as a name for a number that we do know, for instance
the Greek letter pi for 3.14159...)
Letters in other alphabets (Greek, Hebrew, or old English) are also
sometimes used for variables in math. In computer programming, we
often use whole words as names for variables. You could make up your
own symbols, but then we wouldn't know how to say them.
Are you wondering why we need variables in the first place? There are
two big reasons. First, they let us write formulas that we can use
over and over. For example, we have this formula for the area of a
A = lw
where A is the area of a rectangle, and l and w are its length and
height. One formula tells us how to find the area of any rectangle.
What would we do if we could only write numbers?
Second, variables harness the power of the properties of numbers. This
is the power: since every number has the same properties
(commutativity, associativity, etc.), you don't need to know what a
number is in order to know how it will behave. So, for instance, if we
know that the area of a rectangle is 120 square inches and its length
is 10 inches, we can plug these numbers into the formula:
120 = 10 * w
Now we can use properties of numbers to solve for w:
120/10 = 10 * w / 10
12 = w * 10/10
12 = w * 1
12 = w
I used the property of equality that equals divided by equals are
equal. Then I used the commutative property that w * 10 = 10 * w,
which is true no matter what number w stands for. Finally, I used the
identity property that w * 1 = w, no matter what number w stands for.
It's because of these properties that I can use variables to solve
You asked a broad question, so I don't know if I have hit what you are
really wondering about. If not, please write back.
- Doctor Rick, The Math Forum
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Oella, MD Math Tutor
Find an Oella, MD Math Tutor
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Patent US20020196731 - Method and apparatus for time and frequency synchronization of OFDM communication systems
[0001] This invention relates to communication systems utilizing orthogonal frequency division multiplexing (OFDM).
[0002] Orthogonal frequency division multiplexing (OFDM) is a widely-used technique for wireless and other types of communications. In OFDM, data is transmitted in parallel over multiple equally
spaced carrier frequencies using Fourier transform methods for modulation and demodulation. By inserting a guard period or guard interval, referred to as a cyclic prefix, between symbols, data on
OFDM subcarriers can be received orthogonally with no inter-carrier interference (ICI) and no intersymbol interference (ISI). Eliminating the ICI and ISI mitigates the effects of delay spread, making
OFDM well-suited to wireless multipath channels. Moreover, for wireless channels, OFDM can be used with coding to easily exploit frequency diversity and combat Rayleigh fading to improve reliable
information transfer.
[0003] It is well-known that OFDM systems demand strict timing and frequency synchronization between the transmitter and receiver. To avoid intersymbol interference (ISI), the receiver must adjust
its symbol timing so that the symbol transitions occur within the cyclic prefixes between the symbols. In a multipath channel, the cyclic prefix must contain the symbol transitions under all signal
paths. Also, being a multicarrier system, the OFDM receiver and transmitter need to be tightly frequency synchronized in order to avoid intercarrier interference (ICI).
[0004] Several methods have been proposed for OFDM time and frequency synchronization. Blind algorithms known in the art generally do not use any pilot training signals and typically exploit the
correlation of the OFDM cyclic prefix for synchronization. While blind methods are generally not wasteful of bandwidth on synchronization pilots, the synchronization accuracy is typically not as good
as that attained using pilot-assisted methods. Other known systems utilize pilot-assisted synchronization methods based on a number of different pilot synchronization signals.
[0005] In the present invention, the receiver performs the time and frequency synchronization using a multitone pilot synchronization signal transmitted in a designated OFDM symbol period. The
multitone pilot signal consists of discrete tones whose tone frequencies and tone coefficients are a priority known to the receiver.
[0006] The synchronization from the multitone signal is preferably performed in two stages. The first stage uses a coarse frequency discretization using F candidate frequency offset estimates. For
each candidate frequency offset, a smoothed time-domain correlation (TDC) estimation procedure is used to estimate the pilot signal's time offset and received signal energy. The procedure yields F
candidate time-frequency offset estimate pairs, and the time-frequency estimate corresponding to the largest detected energy is selected.
[0007] After the first stage is completed, the frequency offset estimate is refined in a second stage by a numerical optimization procedure. The time estimate from the first stage and the
optimization procedure of the second stage finds the frequency offset at which the correlation between the received signal and the pilot signal is maximized. A computationally efficient method for
performing the optimization, described herein, may be utilized.
[0008] An alternate, simpler implementation of the first stage may also be utilized. In such an implementation, the frequency candidates are assumed to be integer multiples of a certain basic
frequency. Under this assumption, an estimate of the frequency with the maximum energy can be selected using a frequency domain correlation method. After the frequency has been estimated, the time
offset is estimated by a smoothed TDC estimation as before.
[0009] In both implementations of the first stage, the TDC correlation can be implemented with standard Fast Fourier Transform (FFT) methods for computational efficiency. The first implementation
requires one FFT of the received data plus one FFT for each of the F TDC estimators for a total of F+1 FFTs. The simplified implementation requires only two FFTs.
[0010] In the drawing figures, which are not to scale, and which are merely illustrative, and wherein like reference characters denote similar elements throughout the several views:
[0011]FIG. 1 is a block diagram of a system of a type utilizing the present invention;
[0012]FIG. 2 is an illustrative representation of a general OFDM signal;
[0013]FIG. 3 is an illustrative representation of an OFDM signal being received with both time and frequency offsets;
[0014]FIG. 4 is an illustrative representation of an OFDM signal with multitone synchronization signals;
[0015]FIG. 5 is a block diagrammatic representation of a two-stage synchronization system and receiver in accordance with a preferred embodiment of the present invention;
[0016]FIG. 6 is a block diagrammatic representation of a system implementing a preferred initial time and frequency offset estimator;
[0017]FIG. 7 is an illustrative representation of multipath signal reception and the relative energies of received signals at various arrival times;
[0018]FIG. 8 is a block diagrammatic representation of a preferred smoothed time domain correlation estimator;
[0019]FIG. 9 is a block diagrammatic representation of an alternate embodiment of an initial time and frequency offset estimator;
[0020]FIG. 10 is a block diagrammatic representation of a preferred frequency offset estimate refinement block; and
[0021]FIG. 11 is an exemplary representation of a multitone synchronization signal from an OFDM channel estimation pilot signal.
[0022] Other objects and features of the present invention will become apparent from the following detailed description, considered in conjunction with the accompanying drawing figures.
[0023] Problem Definition
[0024] With initial reference FIG. 1, there is illustrated an OFDM system 10 of a type utilizing the present invention. A transmitter 10 and receiver 20 are linked over a channel 12 that imparts an
unknown time and frequency offset on a transmitted OFDM signal. Synchronization is the process where the receiver estimates these time and frequency offsets.
[0025]FIG. 2 illustrates a general OFDM signal 200 arriving with an offset 30 from the receiver timing. An OFDM signal is a sequence of symbols 40 of duration T[s]. Each symbol period contains a data
period 42 of duration T, and a cyclic prefix period 44 of duration T[cp]. Data is transmitted during the data period 42, while the cyclic prefix 44 acts a guard interval between symbols.
[0026] The marks 50 on the time axis 80 of FIG. 2 represent the beginnings of the OFDM symbol periods as measured at the receiver 20. As shown in FIG. 2, the OFDM signal 40 arrives with a time offset
30, τ, relative to the receiver symbol timing. Thus it can be seen that the OFDM symbol 40 and receiver symbol period 60 do not begin at the same time. For proper reception, the time offset 30 must
be less than the cyclic prefix length 44, i.e. 0≦τ<T[cp].
[0027] Referring now to FIG. 3, there is illustrated an OFDM signal 300 being received with both time offsets 30 and frequency offsets 70. In OFDM, the data period of each symbol is a linear
combination of N tones 72 spaced in frequency with uniform spacing 74, shown as 1/T. The OFDM signal 300 is thus represented in FIG. 3 as a time-frequency grid, with each column 77 representing the
time interval for one OFDM symbol 79, and each horizontal line 78 representing the frequency location of one of the tones. Data is transmitted in the OFDM signal 300 by modulating the tones 72 in the
OFDM symbols. An OFDM signal with N tones can transmit N complex values per OFDM symbol.
[0028] The time axis 80 of FIG. 3 is marked at the points 50 where the receiver 20 begins the samples for each OFDM symbol 79. The frequency axis 82 is marked at the frequencies 87 where the receiver
20 samples the tones 72. As shown in FIG. 3, the OFDM signal 300 arrives with a time offset 30, τ, and frequency offset 70, f, relative to the receiver sampling. For proper reception, the frequency
offset 70, f, must be much smaller than the tone spacing 1/T (74); and, as stated earlier in connection with FIG. 2, the time offset 30, τ, must be smaller than the cyclic prefix length 44, T[cp].
The purpose of synchronization, as further described below, is to estimate these time and frequency offsets to enable the receiver to align its sampling with the received signal.
[0029] Multitone Synchronization
[0030] With reference to FIGS. 1 through 4, FIG. 4 illustrates the transmission and reception of the preferred multitone synchronization signals of the present invention. In order for the receiver 20
to synchronize to the transmitter 10, the transmitter 10 sends a certain multitone synchronization signal 500 as part of overall signal 350. A multitone synchronization signal 500 is a signal
transmitted in a time interval 84 preferably having the duration of a single OFDM symbol period 77 on some subset of the N tones 72. Using the number S to denote the number of tones in the multitone
synchronization signal 500, and for each s-th tone, s=1, . . . , S, then n[s ]will denote a tone frequency index, and U[s ]will denote the complex value transmitted on the tone. FIG. 4 shows the
time-frequency placement of an exemplary multitone synchronization signal 500. In FIG. 4, the signal 500 has S=3 tones, whose frequency locations are indicated by the hatched areas 86.
[0031] It can be seen from the above that to conduct synchronization, the receiver should sample the overall signal 350 in a time interval containing the multitone synchronization signal 500. This
synchronization sample interval 62 must be sufficiently large as to fully contain the synchronization signal 500 for all possible timing offsets 30, τ. Consequently, the receiver preferably has some
a priori bound on a maximum time offset. This bound can be found from some previous, coarser synchronization using any preferred, art recognized technique, as a matter of design choice. In the case
of a multipath channel, for example, the sample interval 62 should be sufficiently large as to contain all possible received copies of the signal 350.
[0032] Two-Stage Synchronization
[0033] With continuing reference to FIGS. 1 through 4, and referring also to FIG. 5, there is illustrated a proposed two-stage system 22 for synchronizing the receiver 20 from the data captured in
the synchronization sample interval discussed above. The system 22 is preferably configured to reside at or proximate the receiver 20. The system could be implemented in a microprocessor, general
purpose computer, digital signal processor, other art-recognized platform, or some combination of the aforementioned.
[0034] In the system of the present invention, a synchronization interval sampler 24 first extracts and samples the component of the signal from the synchronization sample interval. As is known in
the art of OFDM processing, the sampler 24 preferably uses a sample period of T/N. The sequence of baseband, complex samples are denoted by y(m), m=0, . . . , M[y]−1, where M[y ]denotes the total
number of samples in the synchronization sample interval. The synchronization system 22 also has stored therein the values of a reference multitone synchronization signal in a read-only memory (ROM)
25. The reference synchronization signal can be stored in either the time or frequency domain format, as will be further discussed herein.
[0035] After capturing the data from the synchronization interval 62, as discussed above, time and frequency offsets are estimated by locating the multitone signal 500 within the captured data. For
preferred computational reasons, the time and frequency offset estimation is performed in two stages. An initial time-frequency offset estimator 26 yields a time offset estimate {circumflex over (τ)}
and an initial frequency offset estimate {circumflex over (f)}[init]. As will be explained further hereinbelow, the initial estimation is performed by a discrete search over a finite set of frequency
candidates. Consequently, the frequency estimate may initially not be as accurate as may be desired. To improve the frequency offset estimate, a frequency offset refinement block 28 performs a
certain numerical optimization procedure yielding an improved frequency offset estimate denoted {circumflex over (f)}. The time and frequency offset estimates, {circumflex over (τ)} and {circumflex
over (f)}, from the aforementioned two stages, are used by the receiver 20 to synchronize to the received signal and perform the regular, art-recognized receiver tasks.
[0036] Initial Time and Frequency Offset Estimation
[0037] Turning now to FIG. 6, there is depicted a block diagram of a system implementing the proposed initial time and frequency offset estimation performed by estimator 26. Generally, the initial
estimation is preferably obtained by conducting a discrete search over a pre-selected set of candidate frequency offsets, {circumflex over (f)}[1], . . . , {circumflex over (f)}[F]. As discussed in
greater detail below, the candidate frequency offsets can be taken from the range of possible frequency offsets. For each candidate frequency offset, {circumflex over (f)}[i], an initial estimator
searches the received signal samples, y(m), for a frequency shifted version of the multitone synchronization signal, u[0](m). This search yields estimates of the pilot signal energy, Ê[i], and pilot
signal time offset, {circumflex over (τ)}[i], corresponding to the candidate frequency offset estimates, {circumflex over (f)}[i]. The initial estimator then selects the time and frequency offset
estimate pair, ({circumflex over (τ)}[i], {circumflex over (f)}[i]), corresponding to the largest detected energy, Ê[i].
[0038] The input y(m) is the sequence of time-domain samples from the synchronization interval sampler 24 in FIG. 5. The input u[0 ](m) is the sequence of time-domain samples of the reference
multitone synchronization signal, which can be loaded from ROM 25. Similar to y(m), the samples for u[0 ](m) are preferably taken with the standard OFDM sampling period of T/N. If the multitone
signal has S tones at frequency indices n[s ]with complex values U[s], the samples are given by
[0039] where M[U]=┌NT[s]/T┐ is the number of samples to cover one T[s]-length OFDM symbol period.
[0040] The reference multitone signal u[0](m) is multiplied by the exponentials, e^2πi{circumflex over (f)} [ ^i ] ^Tm/N, to create frequency shifted reference signals, u[i](m), i=1 , . . . , F.
[0041] The time-domain correlation (TDC) estimators 32 then search for the frequency-shifted reference signals, u[i](m), within the received signal, y(m). The search is performed via a smoothed
time-domain correlation estimate that will be explained below. For each candidate frequency offset estimate {circumflex over (f)}[i], the smoothed TDC 32 yields: {circumflex over (τ)}[i], an estimate
of the time offset of the frequency shifted signal, u[i](m), within the received signal, y(m); and Ê[i], an estimate of the reference signal energy, within the received signal.
[0042] After performing the smoothed TDC estimates, the selector block 34 selects the estimate from the F candidate time-frequency offset estimates, ({circumflex over (τ)}[i], {circumflex over (f)}
[i]), i=1, . . . ,F corresponding to the maximum detected energy, Ê[i].
[0043] Smoothed Time Domain Correlation Estimation for Multipath Channels
[0044] With reference to FIGS. 1 through 7, FIG. 7 illustrates an exemplary timing estimation problem for a multipath channel. In OFDM transmission, it is known that certain channels may be
multipath, meaning that signals from the transmitter can arrive at the receiver via several different physical routes. In the synchronization system of the present invention, multipath channels
result in the receiver 20 receiving several copies of the multitone synchronization signal 500, each copy arriving at a different time. FIG. 7 illustrates an exemplary multipath delay profile. The
figure shows a number of multipath arrival times 64 of the multitone synchronization signal 500 within the synchronization sample interval 62, each arrival time being indicated by a vertical arrow.
The height of the arrows indicate the relative energy of the copies arriving at each time.
[0045] Referring now to FIG. 8, in the system of the present invention, each of TDC estimators 32 comprises three functional blocks. The first block is a standard time-domain correlation (TDC) block
52 and computes R[i](m), the cross-correlation between u[i](m) and the received signal. The cross-correlation magnitude, |R[i](m) |, is a standard estimate of the energy of the reference
synchronization signal, ui(m), received at a time offset of m samples. The cross-correlation R[i](m) can be computed by standard FFT methods.
[0046] The second block, the smoothing filter 54, computes {overscore (R)}[i](m), the sum of the cross-correlation magnitudes, |{circumflex over (R)}[i](l)|, in a T[cp]-length interval beginning at a
time offset of m samples. This summation can be computed with a standard finite impulse response (FIR) filter on the input |{overscore (R)}[i](l)|.
[0047] The final block, the maximum detector 56, computes, Ê[i], the maximum value of the filtered output, {overscore (R)}[i](m), and {circumflex over (τ)}[i], the time corresponding to the sample m
at which {overscore (R)}[i](m) is maximized.
[0048] Now, since |R[i](m)| represents an estimate of the energy of the reference synchronization signal, u[i](m), received at a time offset of m samples, the filtered cross-correlation, {overscore
(R)}[i](m), represents an estimate of the total energy in a T[cp]-length interval at a time offset of m samples. Therefore, the maximum detector 56 output, {circumflex over (τ)}[i ]is an estimate of
the time τ at which the energy of the reference signal received in the time interval |τ, τ+T[cp]| is maximized. The output Ê[i ]is an estimate of the total received energy.
[0049] Simplified Initial Time and Frequency Offset Estimation
[0050]FIG. 9 is a block diagram of an alternative, simpler embodiment of an initial time and frequency offset estimator 260. The initial time and frequency estimator 26 in FIG. 6 requires more
computing overhead than estimator 260. Specifically estimator 26 requires F smoothed TDC estimators, and each TDC requires an M-point FFT followed by a smoothing operation. Therefore, performing the
procedure could be beyond the computational resources of certain receivers if F is large. The number, F, of candidate frequency offsets to test needs to be large when an accurate estimate is required
or the initial frequency range is large.
[0051] The system in FIG. 9 provides an alternative, computationally simpler method for obtaining initial estimates, {circumflex over (τ)} and {circumflex over (f)}[init], of the time and frequency
offsets of the multitone signal u[0](m) in the received signal y(m). The basis of this simplified estimator is to first obtain a frequency offset estimate, {circumflex over (f)}[init], and then use
the frequency offset estimate to obtain a time offset estimate, {circumflex over (τ)}.
[0052] For the frequency offset estimate, the system in FIG. 9 first computes Y(n), by performing an FFT of the received signal y(m) in FFT block 262. The system also uses an FFT of the multitone
reference signal u[0](m). This output of FFT block 262 is denoted U[0](n), but this value can also preferably be pre-computed and loaded from the synchronization signal ROM 25 in FIG. 5 (not shown).
[0053] With the FFTs computed, the frequency offset is easily estimated by finding frequency offset at which the reference multitone signal and the received signal are maximally correlated. To this
end, a frequency-domain correlation estimator 264 sets the frequency estimate by the formula: {circumflex over (f)}[init]−kΔf , where Δf is the FFT tone spacing, and k is the offset at which U[0]
(n+k) and Y(n) are maximally correlated.
[0054] After determining a frequency offset estimate {circumflex over (f)}[init ], the time offset, {circumflex over (τ)}, can be estimated as before. That is, the reference signal can be shifted by
the frequency offset estimate {circumflex over (f)}[init], and then a smoothed TDC 266 can be used to estimate the time offset of the frequency shifted reference signal within the received signal. As
before, the time estimation can be performed with the FFTs U[0](n) and Y(n).
[0055] Frequency Offset Estimation Refinement
[0056]FIG. 10 shows a block diagram of a possible implementation of the “frequency offset estimate refinement” block in FIG. 5.
[0057] The first block 101, the T-length interval extractor has two inputs: y(m), a sequence of received synchronization samples, and {circumflex over (τ)}, a time estimate. The output of this block
consists of a subset of the y(m) sequence, which is defined as follows. The starting point of the subset sequence is τ away from the beginning of y(m) sequence. The length of the subset is equal to
the interval of uO(m), the reference multitone signal.
[0058] The second block 103, the numerical oscillator, generates a sequence of complex samples e^2π1m, (which is similar to what is shown in FIG. 6).
[0059] The output sequences of the first and the second blocks are multiplied by multiplier 105 and the result is a sequence to be inputted to the third block 107, the correlator. The other input of
this block is the reference sample sequence u0(m). The correlator block outputs the correlation of the two input sequences.
[0060] The last block 109, the numerical optimizer, takes the correlation input and adjusts the frequency estimate {circumflex over (f)}. Standard numerical optimization procedures can be used in
this block. The adjusted frequency estimate is fed back to the second block, and the above procedure repeats.
[0061] More specifically, the frequency offset estimate, {circumflex over (f)}[init], from the initial time and frequency offset estimation may not in all circumstances be sufficiently accurate for
the chosen application. As described above, the initial estimator is based on testing discrete frequency offset candidates. In order that the computation in the initial estimation is not
overwhelming, the number of frequency offset candidates, F, must be kept small. Also, in the simplified estimator, the frequency can be estimated only within the FFT tone spacing. Consequently, a
more accurate estimate of the frequency offset may be needed after the initial estimation has been performed.
[0062] The system in FIG. 10 can be used to find a more accurate frequency offset estimate. The input y(m) to the system is the time-domain samples of the received signal, and u[0](m) is the
reference multitone signal described previously. The system first uses the time offset estimate, {circumflex over (τ)}, computed in the T-length interval extractor 101 initial estimation stage, to
extract a T-length sample of y(m) containing the reference multitone signal.
[0063] A numerical oscillator 103 generates a complex exponential of a candidate frequency offset, {circumflex over (f)}. The T-length sample of the received signal y(m) is then multiplied in
multiplier 105 by the oscillator output, frequency shifting the received signal by {circumflex over (f)}. The frequency-shifted received signal is then correlated in correlator 107 against the
reference multitone signal u[0](m). This correlation can be performed by standard FFT methods. In particular, if u[0](m) is a multitone signal with S tones, the correlation can be computed from the
corresponding S FFT outputs.
[0064] In principle, the true frequency offset is the frequency at which the correlation is maximized. A numerical optimization block 109 recursively tests different frequency offsets {circumflex
over (f)} and selects the frequency offset which maximizes the correlation. The optimization can be conducted with standard numerical optimization procedures using the frequency offset estimate
{circumflex over (f)}[init ] from the initial time and frequency offset estimation as a starting point.
[0065] Application to OFDM Systems with Channel Estimation Pilot Signals
[0066]FIG. 11 shows an exemplary construction of a multitone synchronization signal from an OFDM channel estimation pilot signal. In certain OFDM systems, the transmitter sends a well-known pilot, or
reference, signal from which any receiver can estimate the channel and coherently demodulate the data. The OFDM channel estimation pilot signal is typically sent on some designated subset of the
tones in designated OFDM symbol periods. In a given OFDM symbol period, the tones used for the channel estimation pilot signal are called “channel estimation pilot tones”, or simply “pilot tones”.
The remaining non-pilot tones are used for data transmission to the receivers. FIG. 11 shows an example distribution of channel estimation pilot tones in the time-frequency grid. The pilot tones are
indicated by the hatched regions 420.
[0067] In OFDM systems with channel estimation pilot signals, the channel estimation pilot signal can also be used for timing and frequency synchronization. To this end, a receiver first coarsely
synchronizes to the channel estimation pilot signal, approximately locating it in time and frequency. The receiver then selects one of the OFDM symbols and uses the channel estimation pilot tones
within the symbol as a multitone synchronization signal. In the example depicted in FIG. 11, the pilot tones selected for use as synchronization tones are indicated by the solid intervals 450. Any
OFDM symbol containing channel estimation pilot tones can be used. The receiver can then follow the teachings herein described above and estimate the time and frequency offsets accurately from the
multitone synchronization signal. In this way, the receiver can obtain synchronization without having the transmitter send any pilots in addition to the pilot used for channel estimation.
[0068] Thus the instant invention offers benefits over prior art systems. For example, the multitone signals are a well suited choice for OFDM synchronization pilots, since they can be transmitted on
tones distinct from the data tones so that they do not interfere with the regular data transmission. Also, many existing or proposed OFDM systems periodically transmit multitone signals as channel
estimation pilots in manners known in the art. These multitone channel estimation pilots could also be used for the purpose of timing and frequency synchronization. In the prior art, it was necessary
to transmit the synchronization pilot signals in addition to the channel estimation pilots.
[0069] Thus, as has been set forth above, one feature of the present invention is that the time and frequency synchronization can be performed jointly in a computationally efficient manner.
Specifically, the computational load is reduced by using a two-stage procedure of coarse estimation followed by frequency estimate refinement. Also, in the proposed simplified implementation search
method, the frequency offset is estimated before the time offset and the joint two-dimensional search is avoided.
[0070] Additionally, the timing synchronization method is well-suited to multipath channels. The smoothed TDC estimator presented herein locates a cyclic prefix length interval which captures the
maximum received signal energy. The location of the interval is estimated without estimating the individual path's locations.
[0071] The system and methods taught herein can be utilized in a wide variety of communications systems, whether over wired, wireless, ultrasonic, optical, laser or other art recognized channels or
media, including underwater. The system may be implemented as discrete components, integrated components, application specific integrated circuits, in software, hardware or firmware, in a digital
signal processor, microprocessor, or as a combination of one or more of the aforementioned implementation methodologies, or otherwise, as a matter of design choice.
[0072] Thus, while there have been shown and described and pointed out fundamental novel features of the invention as applied to preferred embodiments thereof, it will be understood that various
omissions and substitutions and changes in the form and details of the disclosed invention may be made by those skilled in the art without departing from the spirit of the invention. It is the
intention, therefore, to be limited only as indicated by the scope of the claims appended hereto.
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regularity of eigenfunctions of Schrödinger Operator
up vote 1 down vote favorite
I consider a compact and connected (smooth) Riemannian manofold $(M,g)$. I'm interested in the eigenfunctions of the Schrödinger Operator $L=-\Delta+ V$ acting on (smooth) functions. Do you know for
what kind of potentials $V:M\rightarrow \mathbb{R}$, the eigenfunctions will be smooth?
• Are the eigenfunctions smooth if V is bounded? Or is it necessary that the potential is smooth?
• What happens, if the manifold M has a boundary $\partial M$ with Dirichlet/Neumann boundary conditions assumed. Does the regularity of the eigenfunctions depend on these boundary conditions?
It would be also helpful, if you tell me good textbooks where I can read about the above problems.
sp.spectral-theory dg.differential-geometry
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1 Answer
active oldest votes
If the first (lowest) eigenfunction $f_0$ is smooth, then $V$ is smooth. Indeed, assuming $M$ connected, it is a classical fact that $f_0$ doesn't vanish (it is the first case of
Courant's nodal theorem for instance), and obviously $V=\lambda_0 +\Delta f_0/f_0$.
up vote 5 down vote
accepted With boundary and Neumann condition, the same argument applies, and with Dirichlet condition, $V$ is at least smooth in the interior.
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Not the answer you're looking for? Browse other questions tagged sp.spectral-theory dg.differential-geometry or ask your own question.
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Bayesian Ideas and Data Analysis
• Covers a large number of statistical models
• Emphasizes the elicitation of reasonable prior information
• Explores numerical approximations via simulation
• Uses WinBUGS and R for computational problems
• Reviews basic concepts of matrix algebra and probability
• Includes numerous exercises and real-world examples throughout
• Provides data, programming code, and other materials at www.stat.unm.edu/~fletcher
Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific
questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS
code provided offers a convenient platform to model and analyze a wide range of data.
The first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models.
The text then covers Monte Carlo methods, such as Markov chain Monte Carlo (MCMC) simulation. After discussing linear structures in regression, it presents binomial regression, normal regression,
analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival analysis and binary diagnostic testing. A complementary
chapter on diagnostic testing for continuous outcomes is available on the book’s website. The last chapter on nonparametric inference explores density estimation and flexible regression modeling of
mean functions.
The appropriate statistical analysis of data involves a collaborative effort between scientists and statisticians. Exemplifying this approach, Bayesian Ideas and Data Analysis focuses on the
necessary tools and concepts for modeling and analyzing scientific data.
Data sets and codes are provided on a supplemental
Table of Contents
Probability of a Defective: Binomial Data
Brass Alloy Zinc Content: Normal Data
Armadillo Hunting: Poisson Data
Abortion in Dairy Cattle: Survival Data
Ache Hunting with Age Trends
Lung Cancer Treatment: Log-Normal Regression
Survival with Random Effects: Ache Hunting
Fundamental Ideas I
Simple Probability Computations
Science, Priors, and Prediction
Statistical Models
Posterior Analysis
Commonly Used Distributions
Integration versus Simulation
WinBUGS I: Getting Started
Method of Composition
Monte Carlo Integration
Posterior Computations in R
Fundamental Ideas II
Statistical Testing
Likelihood Functions
Sufficient Statistics
Analysis Using Predictive Distributions
Flat Priors
Jeffreys’ Priors
Bayes Factors
Other Model Selection Criteria
Normal Approximations to Posteriors
Bayesian Consistency and Inconsistency
Hierarchical Models
Some Final Comments on Likelihoods
Identifiability and Noninformative Data
Comparing Populations
Inference for Proportions
Inference for Normal Populations
Inference for Rates
Sample Size Determination
Illustrations: Foundry Data
Medfly Data
Radiological Contrast Data
Reyes Syndrome Data
Corrosion Data
Diasorin Data
Ache Hunting Data
Breast Cancer Data
Generating Random Samples
Traditional Monte Carlo Methods
Basics of Markov Chain Theory
Markov Chain Monte Carlo
Basic Concepts of Regression
Data Notation and Format
Predictive Models: An Overview
Modeling with Linear Structures
Illustration: FEV Data
Binomial Regression
The Sampling Model
Binomial Regression Analysis
Model Checking
Prior Distributions
Mixed Models
Illustrations: Space Shuttle Data
Trauma Data
Onychomycosis Fungis Data
Cow Abortion Data
Linear Regression
The Sampling Model
Reference Priors
Conjugate Priors
Independence Priors
Model Diagnostics
Model Selection
Nonlinear Regression
Illustrations: FEV Data
Bank Salary Data
Diasorin Data
Coleman Report Data
Dugong Growth Data
Correlated Data
Mixed Models
Multivariate Normal Models
Multivariate Normal Regression
Posterior Sampling and Missing Data
Illustrations: Interleukin Data
Sleeping Dog Data
Meta-Analysis Data
Dental Data
Count Data
Poisson Regression
Over-Dispersion and Mixtures of Poissons
Longitudinal Data
Illustrations: Ache Hunting Data
Textile Faults Data
Coronary Heart Disease Data
Foot and Mouth Disease Data
Time to Event Data
One-Sample Models
Two-Sample Data
Plotting Survival and Hazard Functions
Illustrations: Leukemia Cancer Data
Breast Cancer Data
Time to Event Regression
Accelerated Failure Time Models
Proportional Hazards Modeling
Survival with Random Effects
Illustrations: Leukemia Cancer Data
Larynx Cancer Data
Cow Abortion Data
Kidney Transplant Data
Lung Cancer Data
Ache Hunting Data
Binary Diagnostic Tests
Basic Ideas
One Test, One Population
Two Tests, Two Populations
Prevalence Distributions
Illustrations: Coronary Artery Disease
Paratuberculosis Data
Nucleospora Salmonis Data
Ovine Progressive Pnemonia Data
Nonparametric Models
Flexible Density Shapes
Flexible Regression Functions
Proportional Hazards Modeling
Illustrations: Galaxy Data
ELISA Data for Johnes Disease
Fungus Data
Test Engine Data
Lung Cancer Data
Appendix A: Matrices and Vectors
Appendix B: Probability
Appendix C: Getting Started in R
Author Bio(s)
Ronald Christensen is a Professor in the Department of Mathematics and Statistics at the University of New Mexico, Albuquerque. He is also a Fellow of the American Statistical Association (ASA) and
the Institute of Mathematical Statistics as well as the former Chair of the ASA Section on Bayesian Statistical Science.
Wesley Johnson is a Professor in the Department of Statistics at the University of California, Irvine. He is also a Fellow of the ASA and Chair-Elect of the ASA Section on Bayesian Statistical
Adam Branscum is an Associate Professor in the Department of Public Health at Oregon State University, Corvallis.
Timothy E. Hanson is an Associate Professor in the Department of Statistics at the University of South Carolina, Columbia.
Editorial Reviews
This book provides a good introduction to Bayesian approaches to applied statistical modelling. … The authors have fulfilled their main aim of introducing Bayesian ideas through examples using a
large number of statistical models. An interesting feature of this book is the humour of the authors that make it more fun than typical statistics books. In summary, this is a very interesting
introductory book, very well organised and has been written in a style that is extremely pleasant and enjoyable to read. Both the statistical concepts and examples are very well explained. In
conclusion, I highly recommend this book as both a M.S./Ph.D. course text and as an excellent reference book for anyone interested in Bayesian statistics. A copy of it should certainly appear in
every university or, even private, library.
—Rolando de la Cruz, Journal of Applied Statistics, June 2012
Bayesian Ideas and Data Analysis (BIDA) is exactly what its title advertises: an introduction to Bayesian approaches to applied statistical modeling. Its authors, who are renowned Bayesian
statisticians, present a variety of insightful case studies of Bayesian data analysis, many of which have been drawn from their own research. The book is an excellent purchase for practitioners who
are unfamiliar with Bayesian methods and want to learn to use them for their data-based research. BIDA also should be strongly considered as a primary text by teachers of introductory courses in
applied Bayesian inference. … The writing in BIDA is clear, accurate, and easy to follow.
—Jerome P. Reiter, The American Statistician, November 2011
I liked it very much! … the book is indeed focused on explaining the Bayesian ideas through (real) examples and it covers a lot of regression models, all the way to non-parametrics. It contains a
good proportion of WinBUGS and R codes. … The book is pleasant to read, with humorous comments here and there. …
—Christian Robert (Université Paris-Dauphine) on his blog, October 2011
If you think that a Bayesian approach to statistical analysis is nice in principle but too complicated in practice, this book may change your mind. The authors’ enthusiasm for the subject is apparent
and they have taken care that the text is generally easy to read, with some occasional wry comments that make it more amusing than a typical statistics book. The emphasis is on medical and biological
cases, but a range of other applications are covered. …
There are three useful appendices on matrices and vectors, probability, and getting started in R, which is well chosen, and includes a note on the interface between R and WinBUGS. The exercises are
an integral part of the book and are placed throughout the text …
I think that the book is innovative for two reasons. Firstly, it provides an intermediate-level course in statistics, using the Bayesian paradigm, that could be given to engineers and scientists
requiring substantial statistical analysis, as well as material for a course in Bayesian statistics that is typically offered to statistics students. Secondly, it shows how to perform the analyses by
using WinBUGS throughout the text. I would use this book as a basis for a course on Bayesian statistics. It is an excellent text for individual study, and students will find it a valuable reference
later in their careers.
—Andrew V. Metcalfe, Journal of the Royal Statistical Society: Series A, Vol. 174, October 2011
I do believe this book to be more accessible that most Bayesian books … this book could be adequate for the statistics student who has a solid background in statistical concepts and wants to gain
more knowledge about the Bayesian approach. … The authors do a good job of providing examples … There are a number of exercises included, which makes the book adequate as a textbook. … There are many
samples of WinBUGS code interspersed throughout for the different data examples, which are valuable for someone trying to implement Bayesian methods for data analysis. I found the book easy to read
and there are more attempts to liven up the book with humor than the typical textbook.
—Willis A. Jensen, Journal of Quality Technology, Vol. 43, No. 2, April 2011
This is a very sound introductory text, and is certainly one which teachers of any course on Bayesian statistics beyond the briefest and most elementary should consider adopting.
—David J. Hand, International Statistical Review (2011), 79
Unlike many Bayesian books which did not cover this topic extensively, this new book teaches readers how to illicit informative priors from field experts in great detail. … Straightforward R codes
are also provided for pinpointing hyperparameter values … this book is particularly valuable in emphasizing the right approach to elicit prior, an important component of deriving posterior or
predictive distribution.
Another important feature of this new Bayesian textbook is its rich details. …The proofs never skip steps, and are easy to follow for readers taking only one or two semester math stat classes. The
well-written text along with more than 70 figures and 50 plus tables add tremendously to the elucidation of the problems discussed in the book. Directly following some examples or important
discussion in the text, readers can self-check whether they understand the materials by playing with some exercise problems, most of which are pretty straightforward.
Christensen et al. provide many WinBUGS codes in the book and a website for readers to download these codes. In addition, the authors introduce how to perform Bayesian inferences using SAS codes on
two occasions … The book also recommends some other programs or websites that will facilitate computation …
This book is also characterized by its humor, … [making] reading this Bayesian book more delightful.
—Dunlei Cheng, Statistics in Medicine, 2011
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A representation of independent increments processes without Gaussian components
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"... ... In this paper we present two general types of Gibbs samplers that can be used to fit posteriors of Bayesian hierarchical models based on stick-breaking priors. The first type of Gibbs
sampler, referred to as a Polya urn Gibbs sampler, is a generalized version of a widely used Gibbs sampling meth ..."
Cited by 213 (17 self)
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... In this paper we present two general types of Gibbs samplers that can be used to fit posteriors of Bayesian hierarchical models based on stick-breaking priors. The first type of Gibbs sampler,
referred to as a Polya urn Gibbs sampler, is a generalized version of a widely used Gibbs sampling method currently employed for Dirichlet process computing. This method applies to stick-breaking
priors with a known P'olya urn characterization; that is priors with an explicit and simple prediction rule. Our second method, the blocked Gibbs sampler, is based on a entirely different approach
that works by directly sampling values from the posterior of the random measure. The blocked Gibbs sampler can be viewed as a more general approach as it works without requiring an explicit
prediction rule. We find that the blocked Gibbs avoids some of the limitations seen with the Polya urn approach and should be simpler for non-experts to use.
- BIOMETRIKA , 1998
"... Doubly stochastic Bayesian hierarchical models are introduced to account for uncertainty and spatial variation in the underlying intensity measure for point process models. Inhomogeneous gamma
process random fields and, more generally, Markov random fields with infinitely divisible distributions are ..."
Cited by 47 (12 self)
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Doubly stochastic Bayesian hierarchical models are introduced to account for uncertainty and spatial variation in the underlying intensity measure for point process models. Inhomogeneous gamma
process random fields and, more generally, Markov random fields with infinitely divisible distributions are used to construct positively autocorrelated intensity measures for spatial Poisson point
processes; these in turn are used to model the number and location of individual events. A data augmentation scheme and Markov chain Monte Carlo numerical methods are employed to generate samples
from Bayesian posterior and predictive distributions. The methods are developed in both continuous and discrete settings, and are applied to a problem in forest ecology.
"... Several methods of generating series representations of a Levy process are presented under a unified approach and a new rejection method is introduced in this context. The connection of such
representations with the Levy--Ito integral representation is precisely established. Four series representati ..."
Cited by 38 (6 self)
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Several methods of generating series representations of a Levy process are presented under a unified approach and a new rejection method is introduced in this context. The connection of such
representations with the Levy--Ito integral representation is precisely established. Four series representations of a gamma process are given as illustrations of these methods. 1 From L evy--It o to
series representations. Introduction. Let fX(t) : t 2 [0; 1]g be a Levy process in R d with the characteristic function given by E exp(iuX(t)) = exp t[iua + Z R d 0 (e iux 1 iuxI(jxj 1)) Q(dx)] (1.1)
where a 2 R d and Q is a Levy measure on R d 0 (R d 0 := R d n f0g). Assume that the paths of X are right--continuous and have left--hand limits (abbreviated as rcll). By the Levy--Ito integral
representation, a.s. for each t 0, X(t) = ta + Z jxj1 x [(N([0; t]; dx) tQ(dx)] + Z jxj>1 xN([0; t]; dx) (1.2) where N is the process of jumps of X : N(A) = P ft: X(t)6=0g 1f(t; X(t))...
, 2005
"... This article develops, and describes how to use, results concerning disintegrations of Poisson random measures. These results are fashioned as simple tools that can be tailor-made to address
inferential questions arising in a wide range of Bayesian nonparametric and spatial statistical models. The P ..."
Cited by 32 (10 self)
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This article develops, and describes how to use, results concerning disintegrations of Poisson random measures. These results are fashioned as simple tools that can be tailor-made to address
inferential questions arising in a wide range of Bayesian nonparametric and spatial statistical models. The Poisson disintegration method is based on the formal statement of two results concerning a
Laplace functional change of measure and a Poisson Palm/Fubini calculus in terms of random partitions of the integers {1,...,n}. The techniques are analogous to, but much more general than,
techniques for the Dirichlet process and weighted gamma process developed in [Ann. Statist. 12
, 2008
"... Abstract. This paper is concerned with nonparametric estimation of the Lévy density of a pure jump Lévy process. The sample path is observed at n discrete instants with fixed sampling interval.
We construct a collection of estimators obtained by deconvolution methods and deduced from appropriate est ..."
Cited by 13 (4 self)
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Abstract. This paper is concerned with nonparametric estimation of the Lévy density of a pure jump Lévy process. The sample path is observed at n discrete instants with fixed sampling interval. We
construct a collection of estimators obtained by deconvolution methods and deduced from appropriate estimators of the characteristic function and its first derivative. We obtain a bound for the L
2-risk, under general assumptions on the model. Then we propose a penalty function that allows to build an adaptive estimator. The risk bound for the adaptive estimator is obtained under additional
assumptions on the Lévy density. Examples of models fitting in our framework are described and rates of convergence of the estimator are discussed. June 20, 2008
- Annals of Statistics
"... This paper introduces and studies a new class of nonparametric prior distributions. Random probability distribution functions are constructed via normalization of random measures driven by
increasing additive processes. In particular, we present results for the distribution of means under both prior ..."
Cited by 8 (2 self)
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This paper introduces and studies a new class of nonparametric prior distributions. Random probability distribution functions are constructed via normalization of random measures driven by increasing
additive processes. In particular, we present results for the distribution of means under both prior and posterior conditions and, via the use of strategic latent variables, undertake a full Bayesian
analysis. Our class of priors includes the well-known and widely used mixture of a Dirichlet process.
, 1999
"... . In this paper we describe new fundamental properties of the law P \Gamma of the classical gamma process and related properties of the Poisson--Dirichlet measures PD(`). We prove the
quasi-invariance of the measure P \Gamma with respect to an infinite-dimensional multiplicative group (the fact ..."
Cited by 7 (3 self)
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. In this paper we describe new fundamental properties of the law P \Gamma of the classical gamma process and related properties of the Poisson--Dirichlet measures PD(`). We prove the
quasi-invariance of the measure P \Gamma with respect to an infinite-dimensional multiplicative group (the fact first discovered in [GGV83]) and the Markov--Krein identity as corollaries of the
formula for the Laplace transform of P \Gamma . The quasi-invariance of the measure P \Gamma allows us to obtain new quasi-invariance properties of the measure PD(`). The corresponding invariance
properties hold for oe-finite analogues of P \Gamma and PD(`). We also show that the measure P \Gamma can be considered as a limit of measures corresponding to the ff-stable L'evy processes when
parameter ff tends to zero. Our approach is based on simultaneous considering the gamma process (especially its Laplace transform) and its simplicial part -- the Poisson--Dirichlet measures.
Quasi-invariance du proces...
, 2000
"... We study fundamental properties of the gamma process and their relation to various topics such as Poisson–Dirichlet measures and stable processes. We prove the quasi-invariance of the gamma
process with respect to a large group of linear transformations. We also show that it is a renormalized limit ..."
Cited by 7 (1 self)
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We study fundamental properties of the gamma process and their relation to various topics such as Poisson–Dirichlet measures and stable processes. We prove the quasi-invariance of the gamma process
with respect to a large group of linear transformations. We also show that it is a renormalized limit of the stable processes and has an equivalent sigma-finite measure (quasi-Lebesgue) with
important invariance properties. New properties of the gamma process can be applied to the Poisson—Dirichlet measures. We also emphasize the deep similarity between the gamma process and the Brownian
motion. The connection of the above topics makes more transparent some old and new facts about stable and gamma processes, and the Poisson-Dirichlet measures.
- Bayesian Nonparametrics in Practice, CUP , 2009
"... www.carloalberto.org/working_papers © 2009 by Antonio Lijoi and Igor Prünster. Any opinions expressed here are those of the authors and not those of the Collegio Carlo Alberto. Models beyond the
Dirichlet process ..."
Cited by 3 (1 self)
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www.carloalberto.org/working_papers © 2009 by Antonio Lijoi and Igor Prünster. Any opinions expressed here are those of the authors and not those of the Collegio Carlo Alberto. Models beyond the
Dirichlet process
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What are Galois Categories used for?
up vote 7 down vote favorite
Galois categories are introduced (for the first time?) in SGA1, but here's an English introduction that's available online: http://www.math.uchicago.edu/~may/VIGRE/VIGRE2009/REUPapers/Lynn.pdf
It seems that Galois Categories are a way of axiomatizing all the Galois correspondences in the various fields: Galois theory for fields, Galois theory for covers, Galois theory tame covers and so
What is the benefit, if at all, of this formalism? Is it just to outline the commonalities of these seemingly different topics, or is there some applicable virtue to this language?
The linked paper is full of errors and "empty assertions". – Martin Brandenburg Jan 4 '11 at 20:46
I haven't read it through. I should perhaps put SGA1 chapter V as the main reference, 4.1 being the main theorem. – James D. Taylor Jan 4 '11 at 20:46
Or perhaps Ricky's link: websites.math.leidenuniv.nl/algebra/GSchemes.pdf – James D. Taylor Jan 4 '11 at 20:47
Galois categories inspired the Tannakian categories formalism that reconstructs an affine group scheme from its finite-dimensional representations. – Mozibur Ullah Dec 25 '12 at 19:08
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2 Answers
active oldest votes
At the end, a Galois category is equivalent to the category $\pi$-sets, of finite sets with a continuous action of a profinite group $\pi$, so once you know this is easy to study Galois
categories. The interesting part is that sometimes you a have a category, you can prove that it is Galois, so you have your $\pi$, but this is the only way you have to define the group.
up vote 6 This is the method used by Grothendieck to define the fundamental group of a scheme (w.r.t. to a geometric point. used to define the fibre functor). See here link text for the details.
down vote
Correct me if I'm wrong, but can't we also define it simply as the automorphisms group of the geometric fiber functor as is done in Szamuely's book? Do we really need the power of Galois
categories to do this? – James D. Taylor Jan 4 '11 at 19:39
I don't know the book you are talking about, but of course, the $\pi_1$ is the group of automorphisms of the fibre functor. But using the theory of Galos category you can really
3 understand what the category of finite étale covering is (for example what a connected or Galois object is). To my taste, this allows you to better understand the relation to other
Galois theory, in particular why classical Galois theory is a particular case of the one of Grothendieck. – Ricky Jan 4 '11 at 19:49
add comment
(I only just saw this one year on!) I find your question very strange. Grothendieck gives a simple categorical formulation of a situation that encompasses the three main examples of Galois
theoretic machines. That means he shows what makes things really tick... isn't that good enough for you! He does this with the clearly stated aim of developing a fundamental group for
schemes, and the theory gives that and a lot more. If you go to the slightly wider results on the fundamental groupoid of categories of locally finite sheaves, that is a first step towards
his Pursuing Stacks, the letters to Larry Breen, and enroute for his Longue Marche.
up vote In another direction it provides a first step towards the Joyal-Tierney theory of locales etc. and their relation with toposes. It provides a background for all of Jacob Lurie's work on
3 down higher toposes, and I could go on with fundamental groups of toposes, homotopy theory of toposes. SGA1 is the key for understanding a large part of modern mathematics.
Grothendieck's methodology was always to seek the clarity that came from abstraction and generalisation. His aim was not only to solve problems (say in algebraic geometry) but to understand
as fully as possible their solution and why they worked.
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Not the answer you're looking for? Browse other questions tagged galois-theory or ask your own question.
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The Unreasonable effectiveness of equilibrium-like theory for interpreting non-equilibrium experiments
Seminar Room 1, Newton Institute
There has been great interest in applying the results of statistical mechanics to single molecule experiements. Recent work has highlighted so-called non-equilibrium work-energy relations and
Fluctuation Theorems that take on an equilibrium-like (time independent) form. Here I give a very simple heuristic example where an equilibrium result (the barometric law for colloidal particles)
arises from theory describing the {\em thermodynamically} non- equilibrium phenomenon of a single colloidal particle falling through solution due to gravity. This simple description arises from the
fact that the particle, even while falling, is in {\em mechanical} equilibrium (gravitational force equal the viscous drag force) at every instant. The results are generalized using Onsager's least
dissipation approach for stochastic processes to derive time independent equations that hold for thermodynamically non-equilibrium (and even non-stationary) systems. These equations offer great
possibilities for rapid determination of thermodynamic parameters from single molecule experiments.
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Uniformly Bounded Sequence
December 3rd 2007, 11:23 AM #1
Dec 2006
Uniformly Bounded Sequence
I need some help with this one.
A sequence of functions f_n is uniformly bounded on a set E iff there is an M>0 s.t. abs(f_n(x)) <= M for all x in E and n in N. Suppose each f_n is a bounded function and f_n converges to F
uniformly on E.
Prove {f_n}is uniformly bounded on E and f is a bounded function on E.
Since f_n is bounded we know that there exists m<= f_n <=M and we know since f_n converges to f uniformly then for all ε>0 there exists an N in N, s.t. n ≥ N implies (f_n(x)-f(x)) < ε for all of
x in E. Then f_n converges and is therefore bounded.
Since f_n <= M then f_n is uniformly bounded.
I'm not sure where to go from here.
$|f(x)-f_n(x)|\leq 1$ for $n\geq N$ thus $1 - f_n(x) \leq f(x)\leq 1 + f_n(x)$. Can you finish now?
December 3rd 2007, 11:54 AM #2
Global Moderator
Nov 2005
New York City
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PhET Teacher Ideas & Activities: Investigating Waves
Website Detail Page
written by the The PhET Project and Nancy Flowers
This is a four-page student guide developed for use with the PhET "Wave on a String" simulation. Written by a high school teacher, the activity provides a roadmap for secondary physical
science students to learn about wave properties in an interactive environment. Students explore how amplitude, frequency, and wavelength affect the movement and speed of a wave.
The wave simulation, which must be open and displayed to complete this activity, is available from PhET at:
Wave on a String
This lesson is part of PhET (Physics Education Technology Project), a large collection of free interactive simulations for science education.
Subjects Levels Resource Types
- Instructional Material
Oscillations & Waves
= Activity
- Wave Motion
- High School = Curriculum support
= Longitudinal Pulses and Waves
= Problem/Problem Set
= Transverse Pulses and Waves
- Assessment Material
Appropriate Courses Categories Ratings
- Physical Science - Activity
- Physics First - Assessment
- Conceptual Physics - New teachers
Intended Users:
Access Rights:
Free access
© 2006 The PhET Project
PHET, Phet, assessment, homework problems, longitudinal waves, transverse waves, waves
Record Cloner:
Metadata instance created March 16, 2009 by Caroline Hall
Record Updated:
October 3, 2012 by Caroline Hall
Last Update
when Cataloged:
April 30, 2008
AAAS Benchmark Alignments (2008 Version)
2. The Nature of Mathematics
2A. Patterns and Relationships
• 9-12: 2A/H1. Mathematics is the study of quantities and shapes, the patterns and relationships between quantities or shapes, and operations on either quantities or shapes. Some of
these relationships involve natural phenomena, while others deal with abstractions not tied to the physical world.
4. The Physical Setting
4F. Motion
• 6-8: 4F/M4. Vibrations in materials set up wavelike disturbances that spread away from the source. Sound and earthquake waves are examples. These and other waves move at different
speeds in different materials.
• 6-8: 4F/M7. Wave behavior can be described in terms of how fast the disturbance spreads, and in terms of the distance between successive peaks of the disturbance (the wavelength).
• 9-12: 4F/H6ab. Waves can superpose on one another, bend around corners, reflect off surfaces, be absorbed by materials they enter, and change direction when entering a new material.
All these effects vary with wavelength.
9. The Mathematical World
9B. Symbolic Relationships
• 6-8: 9B/M3. Graphs can show a variety of possible relationships between two variables. As one variable increases uniformly, the other may do one of the following: increase or decrease
steadily, increase or decrease faster and faster, get closer and closer to some limiting value, reach some intermediate maximum or minimum, alternately increase and decrease, increase
or decrease in steps, or do something different from any of these.
11. Common Themes
11B. Models
• 6-8: 11B/M2. Mathematical models can be displayed on a computer and then modified to see what happens.
• 6-8: 11B/M4. Simulations are often useful in modeling events and processes.
Common Core State Standards for Mathematics Alignments
Standards for Mathematical Practice (K-12)
MP.4 Model with mathematics.
Expressions and Equations (6-8)
Reason about and solve one-variable equations and inequalities. (6)
• 6.EE.6 Use variables to represent numbers and write expressions when solving a real-world or mathematical problem; understand that a variable can represent an unknown number, or,
depending on the purpose at hand, any number in a specified set.
Represent and analyze quantitative relationships between dependent and independent variables. (6)
• 6.EE.9 Use variables to represent two quantities in a real-world problem that change in relationship to one another; write an equation to express one quantity, thought of as the
dependent variable, in terms of the other quantity, thought of as the independent variable. Analyze the relationship between the dependent and independent variables using graphs and
tables, and relate these to the equation.
Functions (8)
Use functions to model relationships between quantities. (8)
• 8.F.5 Describe qualitatively the functional relationship between two quantities by analyzing a graph (e.g., where the function is increasing or decreasing, linear or nonlinear).
Sketch a graph that exhibits the qualitative features of a function that has been described verbally. Supplements
High School — Algebra (9-12) Contribute
Creating Equations^? (9-12) Related
• A-CED.1 Create equations and inequalities in one variable and use them to solve problems. Include equations arising from linear and quadratic functions, and simple rational and
exponential functions. Similar
• A-CED.4 Rearrange formulas to highlight a quantity of interest, using the same reasoning as in solving equations. Materials
High School — Functions (9-12)
Interpreting Functions (9-12)
• F-IF.4 For a function that models a relationship between two quantities, interpret key features of graphs and tables in terms of the quantities, and sketch graphs showing key features
given a verbal description of the relationship.^?
• F-IF.6 Calculate and interpret the average rate of change of a function (presented symbolically or as a table) over a specified interval. Estimate the rate of change from a graph.
Linear, Quadratic, and Exponential Models^? (9-12)
• F-LE.5 Interpret the parameters in a linear or exponential function in terms of a context.
Trigonometric Functions (9-12)
• F-TF.5 Choose trigonometric functions to model periodic phenomena with specified amplitude, frequency, and midline.^?
This resource is part of a Physics Front Topical Unit.
Wave Energy
Unit Title:
Wave Properties: Frequency, Amplitude, Period, Phase
This student worksheet was developed by a high school teacher for use with the PhET simulation "Wave on a String". It provides a very thorough road map for physical science students to
learn about amplitude and frequency in an interactive environment. Allow two days in the computer lab.
Link to Unit:
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The PhET Project and N. Flowers, (2006), WWW Document, (http://phet.colorado.edu/en/contributions/view/3069).
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@misc{ Author = "The PhET Project and Nancy Flowers", Title = {PhET Teacher Ideas & Activities: Investigating Waves}, Volume = {2014}, Number = {17 April 2014}, Month = {April 30, 2008},
Year = {2006} }
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%T PhET Teacher Ideas & Activities: Investigating Waves
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%U http://phet.colorado.edu/en/contributions/view/3069
: ComPADRE offers citation styles as a guide only. We cannot offer interpretations about citations as this is an automated procedure. Please refer to the style manuals in the
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The AIP Style presented is based on information from the AIP Style Manual.
The APA Style presented is based on information from APA Style.org: Electronic References.
The Chicago Style presented is based on information from Examples of Chicago-Style Documentation.
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PhET Teacher Ideas & Activities: Investigating Waves:
Supplements PhET Simulation: Wave on a String
This is a link to the "Wave on a String" simulation, which this worksheet was developed to supplement.
relation by Caroline Hall
See details...
Know of another related resource? Login to relate this resource to it.
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lurys @ PaGaLGuY
No of posts=x.
each 6mtrs covered by two post.
so for x nos of post.distance coverded=6(x-1).
For 5 posts=6*5mtrs(as last one act as 6th post).
sum of this equal to the total distance covered by 8 posts.
No. of post X.
For each 6mtr,2 post is required.
Then for x postTotal distance covered=6(x-1).
for another five post=6*5(last post was taken so total post is 6)
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Linear Equations
Next: Linear Least Squares Problems Up: Driver Routines Previous: Driver Routines
Two types of driver routines are provided for solving systems of linear equations :
Both types of driver routines can handle multiple right-hand sides (the columns of B).
Different driver routines are provided to take advantage of special properties or storage schemes of the matrix A, as shown in table 3.2.
These driver routines cover all the functionality of the computational routines for linear systems , except matrix inversion . It is seldom necessary to compute the inverse of a matrix explicitly,
and such computation is certainly not recommended as a means of solving linear systems.
At present, only simple drivers (name ending -SV) are provided for systems involving band and tridiagonal matrices. It is important to note that in the banded and tridiagonal factorizations (PxDBTRF,
PxDTTRF, PxGBTRF, PxPBTRF, and PxPTTRF) used within these drivers, the resulting factorization is not the same factorization as returned from LAPACK. Additional permutations are performed on the
matrix for the sake of parallelism. Further details of the algorithmic implementations can be found in [32].
Table 3.2: Driver routines for linear equations
Next: Linear Least Squares Problems Up: Driver Routines Previous: Driver Routines Susan Blackford
Tue May 13 09:21:01 EDT 1997
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A special integral polynomial
up vote 5 down vote favorite
Given $n \in \mathbf{N}$,is always possible to construct a monic polynomial in $\mathbf{Z}[x]$ of degree $2n$, whose roots are in $\mathbf{C} \setminus \mathbf{R}$ and whose Galois group over $\
mathbf{Q}$ is $S_{2n}$? I have an approximate idea of how to solve the problem for the Galois group (I immagine something related to the Hilbert irreducibility theorem), but I have no idea for the
condition on the roots. Furthermore, is it possible to give an explicit example?
nt.number-theory galois-theory polynomials
Is reasonable to think that the generic monic integral polynomial will have that form? I do not have a precise meaning here for the word generic, but maybe it might be given a number theoretic
(and scheme-theoretic on Spec Z?) sense. – Roberto Svaldi Mar 13 '10 at 17:43
In some sense a generic polynomial with no real roots should have a Galois group of S_2n, but I don't know a sense in which a generic polynomial doesn't have any real roots. – Douglas Zare Mar 13
'10 at 17:51
No, the condition of having no real roots is not generic. Rather, it defines a nonempty open set (in the analytic topology) of the space of all degree $2n$ polynomials: e.g. for quadratic
1 polynomials the condition is just $b^2-4ac < 0$. Thus if you endow this space with some reasonable measure, the locus you want will have positive, but not full, measure. In contrast the locus of
the set where the Galois group is $S_{2n}$ will have full measure, so morally there's your existence proof. But I didn't immediately see how to make this rigorous, so I did something totally
different below. – Pete L. Clark Mar 13 '10 at 18:02
add comment
2 Answers
active oldest votes
An easy way to ensure that a polynomial $g$ of degree $m$ over $\mathbf{Z}$ has Galois group $S_m$ is to take primes $p_1$, $p_2$ and $p_3$ with $g$ irreducible modulo $p_1$, a linear
times an irreducible modulo $p_2$ and a bunch of distinct linears times an irreducible quadratic modulo $p_3$. Then the Galois group must be doubly transitive and have a transposition,
so it's $S_m$.
up vote 9 Now take $m=2n$ and a polynomial $f$ over $\mathbf{Q}$ with no real roots (e.g. $(x^2+1)^n$). Replacing the coefficients of $f$ by close rationals won't create any real roots. So
down vote replace the $x^k$ coefficient of $f$ by a sufficient close rational $a_k/b_k$ where $a_k$ and $b_k$ are congruent modulo $p_1 p_2 p_3$ respectively to the $x^k$ coefficient of $g$ and
accepted to $1$. Then the new polynomial has rational coefficients, no real roots and Galois group $S_{2n}$. You can easily convert it to one with these properties and integer coefficients
should you wish.
1 It's easier than that to eliminate real roots. Just add a multiple of $p_1p_2p_3$ greater than the minimum. – Douglas Zare Mar 14 '10 at 0:40
Thanks Douglas, that's a nice trick. +1 My method (basically weak approximation) extends to obtaining any even number of non-real roots. – Robin Chapman Mar 14 '10 at 7:52
add comment
Yes, it is always possible.
First note that it suffices to construct a totally complex Galois extension $K/\mathbb{Q}$ of degree $2n$ with Galois group $S_{2n}$. By the primitive element theorem, this extension is of the
form $\mathbb{Q}[t]/(f(t))$ for some irreducible polynomial $f$, the minimal polynomial of an algebraic number $\alpha \in K$. Then there exists $n \in \mathbb{Z}^+$ such that $n \alpha$ is an
algebraic integer: take the minimal polynomial of that algebraic integer: it generates the same field extension.
To construct the desired extension $K$, in turn it suffices to find an irreducible polynomial with $\mathbb{Q}$-coefficients with no real roots and whose Galois group is the largest possible
$S_{2n}$. This is possible by a weak approximation / Krasner's Lemma argument. I will just sketch it for now; I can fill in more details if needed. The idea is to find a finite set of primes
$p$ and degree $2n$ polynomials $f_p$ such that the Galois group of $f_p$, as a group of permutations on the roots of $f_p$, is of a certain form (e.g. contains a specific transposition). Also
let $f_{\infty}$ be any degree $2n$ polynomial over $\mathbb{R}$ without real roots. Then by Krasner's Lemma, there exists a polynomial $f$ which is sufficiently $p$-adically close to each
$f_p$ and to $f_{\infty}$ to have the same local behavior: in particular, to factor the same way over $\mathbb{Q}_p$ and over $\mathbb{R}$ and to generate the same local Galois groups. Then,
up by identifying the local Galois groups with decomposition groups at $p$ (of unramified extensions), if one has enough primes so as to get permutations of every possible cycle type, then the
vote 6 global Galois group of $f$ certainly must be $S_{2n}$. Indeed, to see this we use the following result from lecture notes of Keith Conrad (and Bertrand's postulate!):
vote http://www.math.uconn.edu/~kconrad/blurbs/galoistheory/galoisSnAn.pdf
Theorem: For $n \geq 2$, a transitive subgroup of $S_n$ which contains a transposition and a $p$-cycle for some prime $p > \frac{n}{2}$ is $S_n$.
The condition at infinity means that $\mathbb{Q}[t]/(f(t))$ is totally complex, hence so is its splitting field. To ensure that $f$ is irreducible, we may apply Krasner's Lemma again and take
its coefficients sufficiently close to those of an irreducible degree $2n$ polynomial over $\mathbb{Q}_p$ (for a different $p$ from those used thus far) so as to be irreducible over $\mathbb
{Q}_p$, which implies irreducibility over $\mathbb{Q}$.
This can in principle be made explicit, but I might search the literature for a known classical family of polynomials doing what you want before I tried to carry out this construction
@Pete: I'm sure this works but I don't quite understand the argument yet. Your strategy shows that I can find f with no real roots and such that for some finite set of primes p in S, f mod
1 p factors in a given way. The upshot is that you can decree the cycle type of Frob_p for p in a finite set. But you can't control which roots are in which cycle, can you? So aren't you left
with the following issue: you have to prove that if G is a transitive subgroup of S_{2n} containing an element of each cycle type, then G=S_{2n}. No doubt this is standard but don't you
need it to complete the argument? – Kevin Buzzard Mar 13 '10 at 18:33
@Kevin: Thanks for the comment. I completed the argument along the lines you suggested. – Pete L. Clark Mar 13 '10 at 20:04
:-/ Now you mention the result I remember using it about 10 years ago to check that the char poly of T_2 on S_k(SL_2(Z)) had Galois group S_n for all k<=2048. Daft story connected with
this: after I checked this I emailed William Stein telling him what I had done, and the next day he emailed me back saying he'd just done k=2050 so now he held the record :-) – Kevin
Buzzard Mar 13 '10 at 21:23
@Kevin: that's funny. By the way, why no upvotes? I don't need the reputation, but the corroboration that my argument is correct and understandable is very welcome. – Pete L. Clark Mar 13
'10 at 21:43
By the way, since this is an application of the sort of weak approximation + Krasner argument that I have used in my own work and now introduced in my course on local fields, having looked
at Keith's paper it's natural to try to make a similar argument work to get the alternating groups A_n as Galois groups over any global field. [Yes, I know this is due to Hilbert.] But it's
not immediately clear to me how to do it -- can anyone help? – Pete L. Clark Mar 13 '10 at 21:45
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[Haskell-cafe] matrix computations based on the GSL
Henning Thielemann lemming at henning-thielemann.de
Fri Jul 8 12:26:46 EDT 2005
On Fri, 8 Jul 2005, Keean Schupke wrote:
> So the linear operator is translation (ie: + v)... effectively 'plus'
> could be viewed as a function which takes a vector and returns a matrix
> (operator)
> (+) :: Vector -> Matrix
Since a matrix _is_ not a linear map but only its representation, this
would not make sense. As I said (v+) is not a linear map thus there is no
matrix which represents it. A linear map f must fulfill
f 0 == 0
But since
v+0 == v
the function (v+) is only a linear map if 'v' is zero.
I can't see how to fit in your vector extension by the 1-component.
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Srinivasa Ramanujan
Srinivasa Ramanujan, an Indian mathematician was born in 22nd December, 1887 in Madras, India. Like Sophie Germain, he received no formal education in mathematics but made important contributions to
advancement of mathematics. His acquaintance G.H. Hardy summed up his achievement in following words:
“The limitations of his knowledge were as startling as its profundity. Here was a man who could work out modular equations and theorems…to orders unheard of, whose mastery of continued fraction
was… beyond that of any mathematician in the world, who had found for himself the functional equation of zeta function and the dominant terms of many of the most famous problems in analytical
theory of numbers; and yet he had never heard of a doubly periodic function or of Cauchy’s theorem, and had indeed but the vaguest idea of what a function of complex variable was…”
Contribution to Mathematics
His chief contribution in mathematics lies mainly in analysis, game theory and infinite series. He made in depth analysis in order to solve various mathematical problems by bringing to light new and
novel ideas that gave impetus to progress of game theory. Such was his mathematical genius that he discovered his own theorems. It was because of his keen insight and natural intelligence that he
came up with infinite series for π
This series made up the basis of certain algorithms that are used today. One such remarkable instance is when he solved the bivariate problem of his roommate at spur of moment with a novel answer
that solved the whole class of problems through continued fraction. Besides that he also led to draw some formerly unknown identities such as by linking coefficients of and providing identities for
hyperbolic secant.
He also described in detail the mock theta function, a concept of mock modular form in mathematics. Initially, this concept remained an enigma but now it has been identified as holomorphic parts of
maass forms. His numerous assertions in mathematics or concepts opened up new vistas of mathematical research for instance his conjecture of size of tau function that has distinct modular form in
theory of modular forms. His papers became an inspiration with later mathematicians such as G. N. Watson, B. M. Wilson and Bruce Berndt to explore what Ramanujan discovered and to refine his work.
His contribution towards development of mathematics particularly game theory remains unrivaled as it was based upon pure natural talent and enthusiasm. In recognition of his achievements, his birth
date 22 December is celebrated in India as Mathematics Day. It would not be wrong to assume that he was first Indian mathematician who gained acknowledgment only because of his innate genius and
His Publications
It was after his first publication in the “Journal of the Indian Mathematical Society” that he gained recognition as genius mathematician. With collaboration of English mathematician G. H. Hardy,
with whom he came in contact with during his visit to England, he brought forward his divergent series that later stimulated research in that given area thus refining the contribution of Ramanujan.
Both also worked on new asymptotic formula that gave rise to method of analytical number theory also called as “Circle Method” in mathematics.
It was during his visit to England that he got worldwide recognition after publication of his mathematical work in European journals. He also achieved the distinction of becoming second Indian, who
was elected as Fellow of Royal Society of London in 1918.
He died on 26 April 1920 at hands of dreadful disease of tuberculosis. Although he couldn’t get recognition of world at large but in field of mathematics, his contribution is duly recognized today.
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Related Rates problem
April 19th 2010, 08:12 PM #1
Apr 2010
Related Rates problem
Hey everybody. I need help understanding this problem
A solution is passing through a conical filter 24 cm deep and 16 cm across the top into a cylindrical vessel of diameter 12 cm.
At what rate is the level of the solution in the cylinder rising if when the depth of the solution in the conical filter is 12 cm
Its level is falling at the rate of 1 cm/min in the filter
Hey everybody. I need help understanding this problem
A solution is passing through a conical filter 24 cm deep and 16 cm across the top into a cylindrical vessel of diameter 12 cm.
At what rate is the level of the solution in the cylinder rising if when the depth of the solution in the conical filter is 12 cm
Its level is falling at the rate of 1 cm/min in the filter
The volume(v) of solution in the conical filter is
$v=\frac{1}{3}\pi r^2h$
$v=\frac{1}{3}\pi (\frac{h}{3})^2h=\frac{1}{27}\pi h^3$
$\frac{dv}{dt}=\frac{1}{9}\pi h^2 \frac{dh}{dt}$
The level(h) of the solution in the conical filter is falling at the rate of 1 cm/min so
When $h=12$
$\frac{dv}{dt}=\frac{1}{9}\pi (12)^2(-1)=-16\pi$
The volume(V) of solution in the cylinder is
$V=\pi(6)^2H=36\pi H$
$\frac{dV}{dt}=36\pi \frac{dH}{dt}$
When $h=12$, $\frac{dv}{dt}=-16\pi$
So $\frac{dV}{dt}=16\pi$
$16\pi=36\pi \frac{dH}{dt}$
Solve for $\frac{dH}{dt}$
Last edited by ione; April 19th 2010 at 11:51 PM.
Thanks for the help. It is actually much easier once you understand it
April 19th 2010, 11:20 PM #2
Feb 2010
April 20th 2010, 04:14 AM #3
Apr 2010
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Ian Pratt-Hartmann
Homepage of Dr Ian Pratt-Hartmann
Ian Pratt-Hartmann studied mathematics and philosophy at Brasenose College, Oxford, and philosophy at Princeton and Stanford Universities, gaining his PhD. from Princeton in 1987. He is currently
Senior Lecturer in the Department of Computer Science at the University of Manchester. Since February, 2014, Dr. Pratt-Hartmann has held a joint appointment in the Institute of Mathematics and
Computer Science at the University of Opole.
Dr. Pratt-Hartmann's research interests range widely over the field of AI and cognitive science, including computational logic, spatial logic and natural language semantics. For those who like that
sort of thing, here is a link to his Google Scholar page.
News and current affairs
Select Bibliography
The following papers form a representative sample of Ian Pratt-Hartmann's work. Many conference papers are omitted: click here for a (reasonably up-to-date) full bibliography. Note that some links on
this page are to pre-print versions; please check with the published versions when quoting.
PhD. Students
Programming skills
In decreasing order of incompetence: C++, LISP, Java, Prolog.
Awards and prizes
Contact details
Department of Computer Science
Manchester University
Manchester M13 9PL
Tel +44 (0) 161 275 6223
Fax +44 (0) 161 275 6236
email: ipratt@cs.man.ac.uk
What is the time?
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Convert foot per hour to ft/min - Conversion of Measurement Units
›› Convert foot/hour to foot/minute
›› More information from the unit converter
How many foot per hour in 1 ft/min? The answer is 60.
We assume you are converting between foot/hour and foot/minute.
You can view more details on each measurement unit:
foot per hour or ft/min
The SI derived unit for speed is the meter/second.
1 meter/second is equal to 11811.023622 foot per hour, or 196.850393701 ft/min.
Note that rounding errors may occur, so always check the results.
Use this page to learn how to convert between feet/hour and feet/minute.
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ConvertUnits.com provides an online conversion calculator for all types of measurement units. You can find metric conversion tables for SI units, as well as English units, currency, and other data.
Type in unit symbols, abbreviations, or full names for units of length, area, mass, pressure, and other types. Examples include mm, inch, 100 kg, US fluid ounce, 6'3", 10 stone 4, cubic cm, metres
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2.4.4 Integer and long integer literals
2.4.4 Integer and long integer literals
Integer and long integer literals are described by the following lexical definitions:
longinteger ::= integer ("l" | "L")
integer ::= decimalinteger | octinteger | hexinteger
decimalinteger ::= nonzerodigit digit* | "0"
octinteger ::= "0" octdigit+
hexinteger ::= "0" ("x" | "X") hexdigit+
nonzerodigit ::= "1"..."9"
octdigit ::= "0"..."7"
hexdigit ::= digit | "a"..."f" | "A"..."F"
Although both lower case "l" and upper case "L" are allowed as suffix for long integers, it is strongly recommended to always use "L", since the letter "l" looks too much like the digit "1".
Plain integer literals that are above the largest representable plain integer (e.g., 2147483647 when using 32-bit arithmetic) are accepted as if they were long integers instead.^2.1 There is no limit
for long integer literals apart from what can be stored in available memory.
Some examples of plain integer literals (first row) and long integer literals (second and third rows):
3L 79228162514264337593543950336L 0377L 0x100000000L
79228162514264337593543950336 0xdeadbeef
In versions of Python prior to 2.4, octal and hexadecimal literals in the range just above the largest representable plain integer but below the largest unsigned 32-bit number (on a machine using
32-bit arithmetic), 4294967296, were taken as the negative plain integer obtained by subtracting 4294967296 from their unsigned value.
See About this document... for information on suggesting changes.
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2005 Publications Resulting from the Use of NERSC Resources
On their Allocation Year 2006 ERCAP Request Forms Principal Investigators reported 1,448 refereed publications (published or submitted) for the preceding 12 months, based on using, at least in part,
NERSC resources.
PI Musa Ahmed
Ndome H, Hochlaf M, "Ab initio investigations of the C3S+ cation and of its role during the reactions of C-3(+) ions against atomic sulfur", PHYSICAL CHEMISTRY CHEMICAL PHYSICS 7 (7): 1568-1576 2005
Ben Houria A, Ben Lakhdar Z, Hochlaf M, et al., "Theoretical investigation of the SO2+ dication and the photo-double ionization spectrum of SO", JOURNAL OF CHEMICAL PHYSICS 122 (5): Art. No. 054303
FEB 1 2005
Hochlaf M, Pilcher-Clayton A, Eland JHD, "HCN2+ dication spectroscopy: theoretical and experimental investigations", CHEMICAL PHYSICS 309 (2-3): 291-301 MAR 14 2005
Eland JHD, Hochlaf M, King GC, et al., "Photo double ionization spectra of CO: comparison of theory with experiment", JOURNAL OF PHYSICS B-ATOMIC MOLECULAR AND OPTICAL PHYSICS 37 (15): 3197-3214 AUG
PI Mowfak Al-Jassim
Y. Yan, M.M. Al-Jassim, M.F. Chisholm, L. Boatner, S.J. Pennycook, and M. Oxley [1-100]/(11-22) twin boundaries in wurzite ZnO and group-III-nitrides Phys. Rev. B71, 041309(R) (2005)
Y. Yan, G.D, Dalpin, M.M. Al-Jassim, and S.-H. Wei Energetics and electronic structure of stacking faults in ZnO Phys. Rev. B 70 , 193206 (2004)
Y. Yan, M.M. Al-Jassim, and K.M. Jones Passivation of double-positioning twin boundaries in CdTe J. Appl. Phys. 96, 320 (2004).
Y. Yan and M.M. Al-Jassim Inversion domain boundaries in ZnO: First-principles total-energy calculations Phys. Rev. B 69, 085204 (2004).
PI Greg Aldering
Garavini, G., et al. 2004, Spectroscopic Observations and Analysis of the Peculiar SN 1999aa, Astronomy & Astrophysics, 128, 387.
Blanc, G., et al. 2004, Type Ia supernova rate at a redshift of 0.1, Astronomy & Astrophysics, 423, 881.
Wood-Vasey, W.~M., Wang, L. and Aldering, G. 2004, Photometry of SN 2002ic and Implications for the Progenitor Mass-Loss History, Astrophysical Journal, 616, 339.
Lidman, S., et al. 2005 Spectroscopic confirmation of high-redshift supernovae with the ESO VLT, Astronomy & Astrophysics, 430, 843.
Nobili, S., et al. 2005 "Restframe I-band Hubble Diagram for Type Ia Supernovae up to Redshift z = 0.5," Astronomy & Astrophysics, 437, 789.
Garavini, G., et al. 2005 "Spectroscopic Observations and Analysis of the Unusual Type Ia SN 1999ac," astro-ph/0507288, Astronomical Journal, accepted.
Hook, I. M, et al. 2005 " Spectra of High-Redshift Type Ia Supernovae and a Comparison with their Low- Redshift Counterparts," Astronomical Journal, accepted
PI Yoram Alhassid
"The nuclear moment of inertia and spin distribution of nuclear levels," Y. Alhassid, G.F. Bertsch, L. Fang and S. Liu, nucl-th/0508027, submitted to Phys. Rev. C (2005).
"Disordered systems with interactions: induced two-body ensembles and the Hartree-Fock approach," Y. Alhassid, H.A. Weidenmuler, and A. Wobst, Phys. Rev. B 72, 045318 (2005).
PI Paul Alivisatos
F. J. Ribeiro, J. B. Neaton, S. G. Louie, and M. L. Cohen, Mechanism for bias-assisted indium mass transport on carbon nanotube surfaces, Phys. Rev. B 72, 075302 (2005).
J. B. Neaton, K. H. Khoo, C. Spataru, and S. G. Louie, Electronic transport and optical properties of carbon nanostructures from first principles, Comp. Phys. Comm. 169, 1 (2005).
PI Thomas Antonsen
Resonant heating of a cluster plasma by intense laser light, Thomas M. Antonsen, Jr., Toshihiro Taguchi, Ayush Gupta, John Palastro, and Howard M. Milchberg, Phys. Plasmas 12, 056703 (2005)
Effective coupling of ultraintense laser pulse to funnel-mouthed plasma waveguides, Jianzhou Wu, James H. Cooley, Thomas M. Antonsen, Jr., and Howard M. Milchberg, Phys. Plasmas 12, 043105 (2005)
PI Jonathan Arons
A. Spitkovsky, J. Arons, 2004, "Time Dependence in Relativistic Collisionless Shocks: Theory of the Variable ``Wisps'' in the Crab Nebula", ApJ, 603, 669
O. Skjaeraasen, A. Melatos, A. Spitkovsky, "Particle-In-Cell Simulations of a Nonlinear Transverse Electromagnetic Wave in a Pulsar Wind Termination Shock," 2005, ApJ accepted, astro-ph/0508192
P. Demorest, R. Ramachandran, D.C. Backer, S. M. Ransom, V. Kaspi, J. Arons, A. Spitkovsky, 2004, "Orientations of Spin and Magnetic Dipole Axes of Pulsars in the J0737--3039 Binary Based on
Polarimetry Observations at the Green Bank Telescope", ApJ, 615L, 137
V.M. Kaspi, S. M. Ransom, D.C. Backer, R. Ramachandran, P. Demorest, J. Arons, A. Spitkovsky, 2004, "Green Bank Telescope Observations of the Eclipse of Pulsar "A" in the Double Pulsar Binary PSR
J0737-3039," ApJ, 613L, 137
PI Cynthia Atherton
Rotman, D.A., C.S. Atherton, D.J. Bergmann, P.J. Cameron-Smith, C.C.Chuang, P.S. Connell, J.E. Dignon, A. Franz, K.E. Grant, D.E. Kinnison, C.R. Molenkamp, D.D. Proctor, J.R. Tannahill, 2004: IMPACT,
the LLNL 3D global atmospheric chemical transport model for the combined troposphere and stratosphere: Model description and analysis of ozone and other trace gases, J. Geophys. Res., 109 doi:10.1029
Marcy, T.P., D.W. Fahey, R.S. Gao, P.J. Popp, E.C. Richard, T.L. Thompson, K.H. Rosenlof, E.A. Ray, R.J. Salawitch, C.S. Atherton, D.J. Bergmann, B.A. Ridley, A.J. Weinheimer, M. Loewenstein, E.M.
Weinstock, and M.J. Mahoney, 2004: Quantifying stratospheric ozone in the upper troposphere using in situ measurements of HCl, Science, 304, 261-265.
PI Dmitri Babikov
J. Barber, D. E. Hooks, D. J. Funk, R. D. Averitt, A. J. Taylor and D. Babikov, Temperature-dependent far-infrared spectra of single crystals of high explosives using terahertz time-domain
spectroscopy, J. Phys Chem. A 109, pp. 3501-3505, 2005.
D. Babikov, Accuracy of gates in a quantum computer based on vibrational eigenstates, J. Chem. Phys. 121, pp. 7577-7585, 2004.
D. Babikov, B. Kendrick, P. Zhang, and K. Morokuma, Cyclic-N3: II. Large geometric phase effects in the vibrational spectra, J. Chem. Phys. 122, pp. 44315-44335, 2005.
D. Babikov, P. Zhang, and K. Morokuma, Cyclic-N3: I. An accurate potential energy surface for the ground doublet electronic state up to the energy of the 2A2/2B1 conical intersection, J. Chem. Phys.
121, pp. 6743-6749, 2004.
PI Ferdinand Baer
Fournier, A., Mark A. Taylor and Joseph J. Tribbia, 2004: The Spectral Element Atmospheric Model: High-resolution parallel computation and response to regional forcing. Mon. Wea. Rev., 132, 726-748.
Wang, H., and G.-T. Yeh, 2005: A characteristic-based semi-Lagrangian method for hyperbolic systems of conservation laws. Chinese J. Atmos. Sci., (in English), Vol. 29, No. 1, 21-42.
Fournier, 2005: ``Instantaneous wavelet energetic transfers between atmospheric blocking and local eddies,'' Journal of Climate, 13, 2151-2171.
K. A. Maasch, R. J. Oglesby and A. Fournier, 2005: ``Barry Saltzman and the theory of climate,'' J. Climate, 13, 2141-2150.
J. M. Dennis, A. Fournier, W. Spotz, A. St.-Cyr, M. Taylor, S. J. Thomas and H. Tufo, 2005: ``High resolution mesh convergence properties and parallel efficiency of a spectral element atmospheric
dynamical core,'' International Journal of High-Performance Computing Applications, accepted.
Rousseau, A., R.Temam and J. Tribbia, 2004: Boundary layers in an ocean related system. J. Scientific Comp., 21, 405 432.
Dubois, T., F. Jauberteau, R. Temam and J. Tribbia, 2005: Multilevel schemes for the shallow water equations. J. Comp. Phys., 207, 660-694.
Ji, L., J. Chen, D. Zhang, and H. Wang, 2005: Review on some numerical aspects of the dynamic framework of NWP model. Chinese J. Atmos. Sci., (in Chinese), 29, 120-130.
Rousseau, A., R.Temam and J. Tribbia, 2004: Boundary conditions for an ocean related system with a small parameter. Contemporary Mathematics, 371, 231-263.
PI Mark Baertschy
David Cardoza, Mark Baertschy, and Thomas Weinacht; "Interpreting Closed-Loop Learning Control of Molecular Fragmentation in Terms of Wave Packet Dynamics and Enhanced Molecular Ionization"; Journal
of Chemical Physics}, 123, 074315.
David Cardoza, Mark Baertschy, and Thomas Weinacht; "Understanding learning control of molecular fragmentation"; Chemical Physics Letters, 411, 311-315.
Florian Langhojer, David Cardoza, Mark Baertschy, and Thomas Weinacht; "Gaining mechanistic insight from closed loop learning control: The importance of basis in searching the phase space"; Journal
of Chemical Physics, 122, 014102.
C.W. McCurdy, M. Baertschy and T.N. Rescigno; "Solving the three-body Coulomb breakup problem using exterior complex scaling"; Journal of Physics B, 37, No 17, R137-R187.
PI David Bailey
David H. Bailey, "High-Precision Arithmetic in Scientific Computation", Computing in Science and Engineering, May/June, 2005, pg 54-61; LBNL-57487.
David H. Bailey and Michal Misiurewicz, "A Strong Hot Spot Theorem", Proceedings to the American Mathematical Society, to appear, 2005; LBNL-53656 Journal.
David H. Bailey and Jonathan M. Borwein, "Experimental Mathematics: Examples, Methods and Implications", Notices of the American Mathematical Society, May 2005; LBNL-57490.
David H. Bailey, "Review of The Siam 100-Digit Challenge: A Study in High-Accuracy Numerical Computing", Bulletin of the American Mathematical Society, to appear, 2005.
David H. Bailey and Alexei M. Frolov, "Positron annihilation in the bipositronium Ps sub
Thomas H. Dunigan, Jr., Jeffrey S. Vetter, James B. White III, and Patrick H. Worley, Performance Evaluation of the Cray X1 Distributed Shared Memory Architecture, IEEE Micro (in press).
PI Ramesh Balakrishnan
Balakrishnan, R., "An approach to entropy consistency in second-order hydrodynamic equations", Journal of Fluid Mechanics, Vol. 503, Cambridge University Press, pp. 201 - 245, March 25, 2004.
Agarwal, R. K., Yun, K. Y., and Balakrishnan, R., "Beyond navier-stokes: burnett equations for flow simulations in the continuum-transition regime", Annual Review of Computational Physics, Vol. IX,
Edited by Dietrich Stauffer, World Scientific Press, pp. 211-251, 2001.
Agarwal, R. K., Yun, K. Y., and Balakrishnan, R., "Beyond Navier-Stokes: Burnett equations for flows in the continuum-transition regime", Physics of Fluids, Vol. 13, No. 10, American Institute of
Physics, pp. 3061 - 3085, October 2001.
Balakrishnan, R., Agarwal, R. K., and Yun, K. Y.,"BGK-Burnett Equations for Flows in the Continuum--Transition Regime", Journal of Thermophysics and Heat Transfer, American Institute of Aeronautics
and Astronautics, Vol. 13, No. 4, pp. 397-410, October - December, 1999.
Yun, K. Y., Agarwal, R. K., and Balakrishnan, R., "Augmented Burnett and Bhatnagar-Gross-Krook Burnett Equations for Hypersonic Flow", Journal of Thermophysics and Heat Transfer, American Institute
of Aeronautics and Astronautics, Vol. 12, No. 3, pp. 328-335, July-September, 1998.
PI Perla Balbuena
Y. Wang and P. B. Balbuena, "Design of Oxygen Reduction Bimetallic Catalysts: Ab initio-Derived Thermodynamic Guidelines, J. Phys. Chem. B. Letter, accepted for publication.
J. M. Seminario, L. A. Agapito, L. Yan, and P. B. Balbuena, "Density Functional Theory Study of Adsorption of OOH on Pt-Based Bimetallic Clusters Alloyed with Cr, Co, and Ni, Chem. Phys. Lett., 410,
275-281, (2005).
Y. Wang and P. B. Balbuena, "Potential Energy Surface Profile of the Oxygen Reduction Reaction on a Pt Cluster: Adsorption and Decomposition of OOH and H2O2, J. Chem. Theory and Comp., accepted for
Z. Gu and P. B. Balbuena, "Structural characterization of Pt nanoclusters deposited on graphite: Effects of substrate and surrounding medium, Cat. Today, 105, 152-161 (2005).
S. R. Calvo and P. B. Balbuena, "Molecular dynamics studies of phonon spectra in mono- and bimetallic nanoclusters, Surf. Sci, 581, 213-224, (2005).
Y. Wang and P. B. Balbuena, "Ab initio Molecular Dynamics Simulations of the Oxygen Reduction Reaction on a Pt(111) Surface in the Presence of Hydrated Hydronium (H3O) (H2O)2: Direct or Series
Pathway?, J. Phys.Chem, accepted for publication.
P. B. Balbuena, E. J. Lamas, and Y. Wang "Molecular modeling studies of polymer electrolytes for power sources, Electrochimica Acta, 50, 3788-3795 (2005).
P. B. Balbuena, D. Altomare, N. Vadlamani, S. Bingi, L. A. Agapito, and J. M. Seminario, "Adsorption of O, OH, and H2O on Pt-based bimetallic clusters alloyed with Co, Cr, and Ni, J. Phys. Chem. A,
108, 6378, (2004).
S. Calvo, D. S. Mainardi, A. P. J. Jansen, J. J. Lukkien, and P. B. Balbuena, "Test of a Mechanism for O2 Electroreduction on Pt(111) via Dynamic Monte Carlo Simulations", in Power Sources Modeling,
R. G. Jungst, J. W. Weidner, B. W. Liaw, and K. Nechev , Eds., Pennington, NJ, in press, 2005.
PI Arun Bansil
S. Sahrakorpi, M. Lindroos, R.S. Markiewicz, and A. Bansil, "Evolution of Mid-gap States and Residual 3-Dimensionality in La2-xSrxCuO4", in press, Physical Review Letters (2005).
A. Bansil, M. Lindroos, S. Sahrakorpi and R. S. Markiewicz: "Influence of the Third Dimension of Quasi-two-dimensional Cuprate Superconductors on Angle-resolved Photoemission Spectra", Physical
Review B 71, Brief Reports, 012503 (2005).
M. Lindroos, S. Sahrakorpi, V. Arpiainen, R.S. Markiewicz, and A. Bansil, "Role of kz-dispersion in Photoemission from Quasi-2D Cuprates", in press, Journal of Physics and Chemistry of Solids (2005).
R.S. Markiewicz, S. Sahrakorpi, M. Lindroos, Hsin Lin, and A. Bansil, "One-band Tight-binding Model Parametrization of the High-Tc Cuprates, Including the Effect of kz-dispersion", Physical Review B
72, 054519 (2005).
A. Bansil, M. Lindroos, S. Sahrakorpi, and R.S. Markiewicz, "Role of Site Selectivity, Dimensionality, and Strong Correlations in Angle-resolved Photoemission from Cuprate Superconductors", Focus
Issue: Focus on Photoemission and Electronic Structure, commemorating Einstein 1905 explanation of the Photoelectric Effect, New Journal of Physics 7, 140 (2005).
S. Sahrakorpi, M. Lindroos, and A. Bansil, "Site and Orbital Selectivity Properties of Angle-resolved Photoemission from the Cuprates", in press, Journal of Physics and Chemistry of Solids (2005).
Y. -D. Chuang, A. D. Gromko, A.V. Fedorov, Y. Aiura, K. Oka, Yoichi Ando, M. Lindroos, R. S. Markiewicz, A. Bansil and D.S. Dessau, "Bilayer Splitting and Coherence Effects in Optimal and Underdoped
Bi_2Sr_2CaCu_2O_(8 \delta)", Phys. Rev. B 69, 094515 (2004).
M. Lindroos, R.S. Markiewicz, and A. Bansil, "Special Photon Energies for Extracting the Bosonic Spectral Function Mediating Superconductivity in Bi2212 via ARPES", Phys. Rev. B 69, 140505 (2004).
A. Bansil, R.S. Markiewicz, C. Kusko, M. Lindroos, and S. Sahrakorpi, "Matrix Element and Strong Electron Correlation Effects in ARPES from Cuprates", J. Phys. Chem Solids 65, 1417 (2004).
Yinwan Li, P. A. Montano, J.F. Mitchell, B. Barbiellini, P. E. Mijnarends, S. Kaprzyk and A. Bansil, "Temperature dependent orbital degree of freedom in a bilayer manganite by magnetic Compton
scattering", Phys. Rev. Lett. 93, 207206 (2004).
A.B. Denison, R. Meulenberg, S.W.H. Eijt, A. Van Veen, P.E. Mijnarends, B. Barbiellini, A. Bansil, C. Fischer, M.H. Weber, K.G. Lynn, "Radial Electron Momentum Densities of Colloidal CdSe
Nanocrystals Determined by Positron Beam Analysis", Mat. Sci. Forum 445-446, 395 (2004).
X. Zuo, B. Barbiellini and C. Vittoria, "Calculation of exchange constants in manganese ferrite (MnFe2O4)", Journal of Magnetism and Magnetic Materials 272-276, 306 (2004).
B. Barbiellini, A. Bansil, "Dyson Orbitals, Quasi-Particle effects and Compton scattering", J. Phys. Chem. 65, 2031 (2004).
A. Bansil , D. Nissenbaum, B. Barbiellini, R. Saniz, "Electron correlations, spontaneous magnetization and momentum density in quantum dots", J. Phys. Chem. Solids 65, 2005 (2004).
Pedro A. Montano, Yinwan Li, J. F. Mitchell, B. Barbiellini, P.E. Mijnarends, S. Kaprzyk, and A. Bansil, "Inelastic Magnetic X-Ray Scattering from Highly Correlated Electron Systems: La1.2Sr1.8Mn2O7,
La0.7Sr0.3MnO3 and Fe3O4", J. Phys. Chem. Solids 65, 1999 (2004).
B. Barbiellini, P. E. Mijnarends, S. Kaprzyk, A. Bansil, Yinwan Li, J.F. Mitchell, P. A. Montano, "Extracting d-orbital occupancy from magnetic Compton scattering in bilayer manganites", Submitted to
J. Phys. Chem. Solids (2005).
B. Barbiellini, A. Bansil, "A spin-polarized scheme for obtaining quasi-particle energies within the density functional theory", Submitted to J. Phys. Chem. Solids (2005).
PI Edward Baron
C. Fransson, P. M. Challis, R. A. Chevalier, A. V. Filippenko, R. P. Kirshner, C. Kozma, D. C. Leonard, T. Matheson, E. Baron, P. Garnavich, B. Leibundgut, P. Lundqvist, R. McCray, N. Panagia, M. M.
Phillips, C. S. J. Pun, B. Schmidt, G. Sonneborn, N. B. Suntzeff, L. Wang, and J. C. Wheeler, Hubble Space Telescope and Ground-Based Observations of SN 1993J and SN 1998S: CNO Processing in the
Progenitors, Ap. J., (2004), 622, 991--1007.
D. Kasen and T. Plewa, "Spectral Signatures of Gravitationally Confined Thermonuclear Supernova Explosions, 2005, ApJ, 21, L41
PI Don Batchelor
"Integrated Simulation of Fusion Plasmas", D. B. Batchelor, Physics Today, (February, 2005)
"Nonthermal Particle and Full-Wave Diffraction Effects on Heating and Current Drive in the ICRF and LHRF Regimes", J. C. Wright, L.A. Berry, P.T. Bonoli, et.al., to be published in Nucl. Fusion 45
"Monte-Carlo orbit/full wave simulation of ion cyclotron resonance frequency wave damping on resonant ions in tokamaks" M. Choi, V.S. Chan, R.I. Pinsker, S.C. Chiu, W.W. Heidbrink, Phys. Plasmas 12
072505 (2005).
"Electron Bernstein Wave-Bootstrap Current Synergy in NSTX", R.W. Harvey and G.Taylor, Phys. of Plasmas 12, 052509 (2005).
"Integrated Modeling of the Current Profile in Steady-State and Hybrid ITER Scenarios", W.A. Houlberg, C. Gormezano, J.F. Artaud, E. Barbato, V. Basiuk, A. Becoulet, P. Bonoli, R.V. Budny, L.G.
Eriksson, D. Farina, Yu. Gribov, R.W. Harvey, J. Hobirk, F. Imbeaux, C.E. Kessel, V. Leonov, M. Murakami, A.Polevoi, E. Poli, R. Prater, H. St. John, F. Volpe, E. Westerhof, A. Zvonkov, to be
published in Nucl. Fusion (2005)
"Progress Towards High Performance Plasmas in the National Spherical Torus Experiment (NSTX)," S.M. Kaye, ....,R. Harvey,..., to appear in Nucl. Fusion (2005).
"Dynamo free plasma in the Reversed Field Pinch: Advances in Understanding the RFP High Confinement Mode", J.K. Anderson, J. Adney, A. Almagri, A. Blair,.....,R.W. Harvey,...., Physics of Plasmas 12,
056118 (2005).
"Efficient generation of non-inductive, off-axis, Ohkawa current, driven by electron Bernstein waves in high beta, spherical torus plasmas", G. Taylor, P.C. Efthimion, C.E. Kessel, R.W. Harvey, A.P.
Smirnov, N.M. Ershov, M.D. Carter, C.B. Forest, , Phys. of Plasmas 11, 4733 (2004).
PI Victor Batista
J. Phys. Chem. B 108, 6745-6749, 2004 Model Study of Coherent-Control of the Femtosecond Primary Event of Vision, by Samuel C. Flores and Victor S. Batista.
Biophys. J., 87(5), 2931-2941, 2004 QM/MM Study of Energy Storage and Molecular Rearrangements due to the Primary Event in Vision, by Jose A. Gascon and Victor S. Batista.
J. Chem. Phys., 121,1676-1680, 2004 Quantum Tunneling in Multidimensional Systems: A Matching-Pursuit Description, by Yinghua Wu and Victor S. Batista.
Photosynthesis: Fundamental Aspects to Global Perspectives, vol. 1, (D. Bruce and A. van der Est, ed.) Allen Press Inc., Lawrence, Kansas, 278-280, 2005. Computational Structural Model of the Oxygen
Evolving Complex in Photosystem II: Complete Ligation by Protein, Water and Chloride, by James P. McEvoy, Jose A. Gascon, Eduardo M. Sproviero, Victor S. Batista and Gary W. Brudvig.
J. Chem. Phys., 122, 64102, 2005 Matching-Pursuit Split Operator Fourier Transform Computations of Thermal Correlation Functions, by Xin Chen, Yinghua Wu and Victor S. Batista.
J. Chem. Phys., 122, 154709, 2005 (Also, selected for the May 2005 issue of the Virtual Journal of Ultrafast Science ) Model Study of Coherent Quantum Dynamics of Hole States in Functionalized
Semiconductor Nanostructures, by Luis G.C. Rego, Sabas G. Abuabara and Victor S. Batista.
J. Chem. Phys., 122, 084111, 2005 Is the Filinov integral conditioning technique useful in semiclassical IVR methods?, Michael Spanner, Victor S. Batista and Paul Brumer.
Quant. Inform. Compu., 5, 318-334, 2005 Coherent Optical Control of Electronic Excitations in Functionalized Semiconductor Nanostructures, Luis G.C. Rego, Sabas G. Abuabara and Victor S. Batista.
J Chem. Theor. Comput., 1, 674-685, 2005 QM/MM Study of the NMR Spectroscopy of the Retinylidene Chromophore in Visual Rhodopsin, by Jose A. Gascon, Eduardo M. Sproviero and Victor S. Batista.
J. Chem. Phys., 122, 114114, 2005 Matching-Pursuit Split Operator Fourier Transform Simulations of Nonadiabatic Quantum Dynamics, by Yinghua Wu, Michael Herman and Victor S. Batista.
J. Am. Chem. Soc. submitted, 2005. Influence of Thermal Fluctuations on Interfacial Electron Transfer in Functionalized TiO2 Semiconductors, by Sabas G. Abuabara, Luis G.C. Rego and Victor S.
J. Phys. Chem. B 108, 6745-6749, 2004 Model Study of Coherent-Control of the Femtosecond Primary Event of Vision, by Samuel C. Flores and Victor S. Batista.
Biophys. J., 87(5), 2931-2941, 2004 QM/MM Study of Energy Storage and Molecular Rearrangements due to the Primary Event in Vision, by Jose A. Gascon and Victor S. Batista.
J. Chem. Phys., 121,1676-1680, 2004 Quantum Tunneling in Multidimensional Systems: A Matching-Pursuit Description, by Yinghua Wu and Victor S. Batista.
J. Chem. Phys., 122, 64102, 2005 Matching-Pursuit Split Operator Fourier Transform Computations of Thermal Correlation Functions, by Xin Chen, Yinghua Wu and Victor S. Batista.
J. Chem. Phys., 122, 154709, 2005 (Also, selected for the May 2005 issue of the Virtual Journal of Ultrafast Science ) Model Study of Coherent Quantum Dynamics of Hole States in Functionalized
Semiconductor Nanostructures, by Luis G.C. Rego, Sabas G. Abuabara and Victor S. Batista.
Quant. Inform. Compu., 5, 318-334, 2005 Coherent Optical Control of Electronic Excitations in Functionalized Semiconductor Nanostructures, Luis G.C. Rego, Sabas G. Abuabara and Victor S. Batista.
J. Chem. Theor. Comput., 1, 674-685, 2005 QM/MM Study of the NMR Spectroscopy of the Retinylidene Chromophore in Visual Rhodopsin, by Jose A. Gascon, Eduardo M. Sproviero and Victor S. Batista.
J. Chem. Phys., 122, 114114, 2005 Matching-Pursuit Split Operator Fourier Transform Simulations of Nonadiabatic Quantum Dynamics, by Yinghua Wu, Michael Herman and Victor S. Batista.
J. Am. Chem. Soc. submitted, 2005. Influence of Thermal Fluctuations on Interfacial Electron Transfer in Functionalized TiO2 Semiconductors, by Sabas G. Abuabara, Luis G.C. Rego and Victor S.
J. Chem. Theor. Comput., submitted, 2005. A self-consistent space-domain decomposition method for QM/MM computations of protein electrostatic potentials, by Jose A. Gascon, Siegfried S.F. Leung,
Enrique R. Batista and Victor S. Batista.
Acc. Chem. Res., submitted, 2005. Molecular Rearrangements and Spectroscopic Changes due to the Primary Photochemical Event in Rhodopsin, by Jose A. Gascon, Eduardo M. Sproviero and Victor S.
PI Marco Battaglia
M. Battaglia and M. Peskin, The Role of the ILC in the Study of Cosmic Dark Matter, to appear in the Proceedings of the Intl. Workshop on Physics and Detectors at the Linear Collider, LCWS05,
Stanford, May 2005
M. Battaglia et al., Monolithic CMOS Pixel R&D for the ILC at LBNL, to appear in the Proceedings of the Intl. Workshop on Physics and Detectors at the Linear Collider, LCWS05, Stanford, May 2005.
PI John Bell
J. B. Bell, M. S. Day, I. G. Shepherd, M. Johnson, R. K. Cheng, J. F. Grcar, V. E. Beckner, M. J. Lijewski, "Numerical Simulation of a Laboratory-Scale Turbulent V-flame", Proc. Natl. Acad. Sci. USA,
102(29):10006-10011, 2005.
P. Schwartz, M. Barad, P. Colella, T. J. Ligocki, "A Cartesian grid embedded boundary method for the heat equation and Poisson's equation in three dimensions", LBNL report LBNL-56607, to appear, J.
Comput. Phys., 2005.
D. F. Martin, P. Colella, M. Anghel, F. Alexander, "Adaptive mesh refinement for multiscale nonequilibrium physics", Comp. Sci. Eng., 7(3):24-31, 2005.
R. K. Crockett, P. Colella, R. Fisher, R. I. Klein, C. F. McKee, "An unsplit, cell-centered Godunov method for ideal MHD", J. Comput. Phys., 203:422-448, 2005.
J. B. Bell, M. S. Day, and J. F. Grcar, M. J. Lijewski, "Stochastic Algorithms for the Analysis of Numerical Flame Simulations", J. Comp. Phys., 202:262-280, 2004.
R. Samtaney, P. Colella, S. C. Jardin, D. F. Martin, "3D adaptive mesh refinement simulations of pellet injection in tokamaks", Comp. Phys. Commun., 164:220-228, 2004.
J. B. Bell, M. S. Day, C. A. Rendleman, S. E. Woosley, and M. A. Zingale, "Direct Numerical Simulations of Type Ia Supernovae Flames II: The Rayleigh-Taylor Instability", Astrophys. J., 608:883-906,
J. L. Vay, P. Colella, J. W. Kwan, P. McCorquodale, D. B. Serafini, A. Friedman, D. P. Grote, G. Westenskow, J. C. Adam, A. Heron, I. Haber, "Application of adaptive mesh refinement to
particle-in-cell simulations of plasmas and beams", Physics of Plasmas, 11:2928-2934, 2004.
M. S. Day, J. B. Bell, J. F. Grcar, V. E. Beckner, "Numerical Control of 3D Turbulent Premixed Flame Simulations", 20th International Colloquium on the Dynamics of Explosions and Reactive Systems,
July 31-August 5, 2005.
P. McCorquodale, P. Colella, G. Balls, S. B. Baden, "A scalable parallel Poisson solver with infinite domain boundary conditions", Proceedings of the 7th Workshop on High Performance Scientific and
Engineering Computing, June 14-17, 2005.
M. Zingale, S. E. Woosley, C.A. Rendleman, M. S. Day, and J. B. Bell, "Three-dimensional Numerical Simulations of Rayleigh-Taylor Unstable Flames in Type Ia Supernovae", accepted, Astrophys. J.,
J. F. Grcar, P. Glarborg, J. B. Bell, M. S. Day, A. Loren, and A. D. Jenson, "Effects of Mixing on Ammonia Oxidation in Combustion Environments at Intermediate Temperatures", Proc. Combust. Inst.,
30:1193-1200, 2004.[4]
PI Roy Benedek
Dopant-induced stabilization of rhombohedral LiMnO2 against Jahn-Teller distortion - art. no. 134111 Prasad, R;Benedek, R;Thackeray, MM PHYSICAL REVIEW B, APR 2005, 7113, 13, pp. 4111-4111
PI Amitava Bhattacharjee
A. Bhattacharjee, K. Germaschewski, and C.S. Ng, Current singularities: Drivers of impulsive reconnection, Phys. Plasmas 12, 042305 (2005)
K. Germaschewski, A. Bhattacharjee, R. Grauer, D. Keyes, and B. Smith, Using Krylov-Schwarz methods in an adaptive mesh refinement environment in: Adaptive Mesh Refinement - Theory and Applications,
Series : Lecture Notes in Computational Science and Engineering , Vol. 41 (2005) Plewa, Tomasz; Linde, Timur; Weirs, V. Gregory (Eds.)
PI Julian Borrill
P.R.Meinhold et al "A Map of the Cosmic Microwave Background from the BEAST Experiment," Ap.J.Sup. 158, 101-108 (2005)
I.O'Dwyer et al "The CMB Power Spectrum from the Background Emission Anisotropy Scanning Telescope (BEAST) Experiment," Ap.J.Sup. 158, 93-100 (2005)
J.Meja et al, "Galactic foreground contribution to the BEAST CMB Anisotropy Maps" Ap.J.Sup. 158, 109-117 (2005)
I.J.O'Dwyer et al "Bayesian Power Spectrum Analysis of the First-Year WMAP data," Ap.J. 617, L99-102 (2004)
H.K.Eriksen et al "Power spectrum estimation from high-resolution maps by Gibbs sampling," Ap.J.Sup. 155, 227-241 (2004)
PI Marcia Branstetter
Branstetter, M.L., David J. Erickson III, and Robert Oglesby, "Spatial resolution impacts on the magnitude and variability of continental runoff in the CCSM3 control simulation", submitted to Journal
of Geophysical Research-Atmospheres, 2005.
PI Dmitry Budker
A. T. Nguyen, D. Budker, S. K. Lamoreaux, and J. R. Torgerson, Sensitive search for the temporal variation of the fine structure constant using radio-frequency E1 transitions in atomic dysprosium,
Phys. Rev. A 69, 022105 (2004)
D. Budker, L. Hollberg, D. F. Kimball, J. Kitching, S. Pustelny, and V. V. Yashchuk, Investigation of microwave transitions and nonlinear magneto-optical rotation in anti-relaxation-coated cells,
Phys. Rev. A 71, 012903 (2005);
E. B. Alexandrov, M. Auzinsh, D. Budker, D. F. Kimball, S. M. Rochester, and V. V. Yashchuk, Dynamic effects in nonlinear magneto-optics of atoms and molecules; in a Special Issue of JOSA B on
Nonlinear and Integrated Magneto-Optics; JOSA B 22(1), 7-20 (2005);
D. Budker and S. M. Rochester, A relation between electromagnetically induced absorption resonances and nonlinear magneto-optics in Lambda-systems, Phys. Rev. A 70, 025804 (2004);
M. Auzinsh, D. Budker D. F. Kimball, S. M. Rochester, J. E. Stalnaker, A. O. Sushkov, and V. V. Yashchuk, Can a quantum nondemolition measurement improve the sensitivity of an atomic magnetometer?
Phys. Rev. Lett. 93(17), 173002 (2004);
PI Vasily Bulatov
V. V. Bulatov, W. Cai, J. Fier, M. Hiratani, T. Pierce, M. Tang, M. Rhee, K. Yates, A. Arsenlis, Scalable line dynamics of ParaDiS, Supercomputing 2004, p.19.
J. Marian, W. Cai and Vasily V. Bulatov, Dynamic Transitions in Dislocation Motion: from smooth to rough to twinning, Nature Materials, 3, 158 (2004).
M. Hiratani, and V.V. Bulatov "Solid Solution Hardening by Point-like Obstacles of Different Kinds", Phil. Mag. Lett. 2004, v 84, n 7, p 461-470
M. Hiratani, and V.V. Bulatov "Dynamical Effects on Dislocation Glide through Weak Obstacles", 2005 MRS spring meeting proceeding, San Francisco CA, EE4.4.
W. Cai, V. V. Bulatov, J. Chang, J. Li, and S. Yip, Dislocation Core Effects on Mobility, in F. R. N. Nabarro and J. P. Hirth, ed. Dislocations in Solids, North-Holland Pub. vol. 12, p. 1 (2004).
Ju Li, Cai-Zhuang Wang, Jin-Peng Chang, Wei Cai, Vasily V. Bulatov, Kai-Ming Ho, Sidney Yip, Core energy and Peierls stress of a screw dislocation in bcc molybdenum: A periodic-cell tight-binding
study, Phys. Rev. B, 70 104113 (2004).
N. Sekimura, K. Morishita, E. Kuramoto, N. Soneda, T. Okita, and M. Hiratani Theory and Modeling of Radiation Damange Processees in Materials, J. Plasma and Fusion Research (Japan), 2004, v 80, n 3,
N. Soneda, T. Okita, K. Morishita, E. Kuramoto, M. Hiratani, and N. Sekimura How Can We Bridge the Multiple Timescale Models of Radiation Damage Processes? , J. Plasma and Fusion Research (Japan),
2004, v 80, n 4, p318-324
E. Kuramoto, M. Hiratani, T. Okita, K. Morishita, N. Sekimura, and N. Soneda How Can We Bridge the Multiple Lengthscale Models of Radiation Damage Processes? , J. Plasma and Fusion Research (Japan),
2004, v 80, n 6, p492-499.
PI Philip Cameron-Smith
Lamarque, J.-F., P. Cameron-Smith, and 18 other authors, "Assessing Nitrogen Deposition and Carbon Cycle Feedback using a Multi-Model approach. Part 1: Analysis of Nitrogen Deposition", J.G.R.
Atmospheres, accepted 2005.
Lamarque, J.-F., J. T. Kiehl, P. G. Hess, W. D. Collins, L. K. Emmons, P. Ginoux, C. Luo, and X. X. Tie (2005), Response of a coupled chemistryclimate model to changes in aerosol emissions: Global
impact on the hydrological cycle and the tropospheric burdens of OH, ozone, and NOx, Geophys. Res. Lett., 32, L16809, doi:10.1029/2005GL023419.
PI Andrew Canning
Scaling first-principles plane-wave codes to thousands of processors A. Canning and D. Raczkowski, Computer Physics Communications, Vol 169, p449, (2005
Non-free-electron momentum- and thickness-dependent evolution of quantum well states in the Cu/Co/Cu(001) system E. Rotenberg, Y. Z Wu, J. M. An, M.A. van Hove, A. Canning et al. Physics Rev. B. (In
press) (2005)
Comparison of Nonlinear Conjugate-Gradient Methods for Computing the Electronic Properties of Nanostructure Architectures S. Tomov, J. Langou, A. Canning, L-W Wang and J. Dongarra, Proceedings of
International Conference on Computer Science CNST05 Atlanta, May 2005.
Conjugate-Gradient Eigenvalue Solvers in Computing Electronic Properties of Nanostructure Architectures S. Tomov, J. Langou, A. Canning, L-W Wang and J. Dongarra, to appear in Technology Computer
Aided Design: The International Journal of Computational Science and Engineering (IJCSE) Special Issue on Computational Methods and Techniques for Nanoscale (2005) LBNL-58574
X. Cartoixa, L.W. Wang, "Microscopic dieletric response functions in semiconductor quantum dots", Phys. Rev. Lett. 94, 236804 (2005)
PI Paola Cessi
Gallego, B. and P. Cessi and J.C.McWilliams, 2004. The Antarctic Circumpolar Current in equilibrium. J. Phys. Oceanogr., 34, 1571-1587.
Cessi, P. and M. Fantini, 2004. The eddy-driven thermocline. J. Phys. Oceanogr., 34, 2642-2658.
PI Yuen-Dat Chen
B. Aharmim et al. (the SNO Collaboration), Electron Energy Spectra, Fluxes, and Day-Night Asymmetries of 8B Solar Neutrinos from the 391-Day Salt Phase SNO Data Set, submitted to Phys. Rev. C,
arXiv:nucl-ex/0502021 (2005)
B. Aharmim et al. (the SNO Collaboration), Electron Antineutrino Search at the Sudbury Neutrino Observatory, Phys. Rev. D70, 093014 (2004)
S.N. Ahmed et al. (the SNO Collaboration), Measurement of the Total Active 8B Solar Neutrino Flux at the Sudbury Neutrino Observatory with Enhanced Neutral Current Sensitivity, Phys. Rev. Lett. 92,
181301 (2004)
PI Choong-Seock Chang
S. Hahn, G. Park, C. S. Chang, C. K. Choi, "Diffusion in a two dimensional anisotropic web map by extrinsic noise applied to the intrinsically perturbed quantity," Phys. Rev. E 69, 017202 (2004).
R. Maingi, C. S. Chang, Seunghoe Ku, etc, "Effect of gas fueling location on H-mode Access in NSTX," Plasma Phys. Cont. Fusion 46, A305-A313 (2004).
H. Weitzner and C. S, Chang, Phys. Plasmas 11, 3060 (2004).
C. S. Chang, Seunghoe Ku, and H. Weitzner, "Numerical study of neoclassical plasma pedestal in a tokamak geometry," Phys. Plasmas APS Invited Issue 11, 2649 (2004).
S.H. Ku and C. S. Chang, "Property of an X-point generated velocity space hole in a diverted tokamak plasma edge," Phys. Plasmas 11, 5626 (2004).
Harold Weitzner and C.S. Chang, "Extension of adiabatic invariant theory for a charged particle," Phys. Plasmas 12, 012106 (2005).
S. Hahn, S.H. Ku, and C.S. Chang, "Wall striking of ion orbits induced by fast transport of pedestal plasma over an electrostic potential hill in a tokamak plasma edge," Phys. Plasmas, Accepted
Hoyul Baik and C.S. Chang, "Poloiization drift in a sheared electric field," Phys. Plasmas, submitted.
H. Strauss, A. Pletzer, W. Park, S. Jardin, J. Breslau, L. Sugiyama, E0V0 MHD simulations with resistive wall and magnetic separatrix, E0\3 Comp. Phys. Comm. 164, 40 (2004)
PI James Chelikowski
L. Kronik, M. Jain, and J.R. Chelikowsky: Electronic structure and spin-polarization of MnGaP, Applied Phys. Lett. 85, 2014 (2004).
G. Nesher, L. Kronik and J.R. Chelikowsky: Ab initio absorption spectra of Ge nanocrystals, Phys. Rev. B 71, 035344 (2005).
X. Huang, E. Lindgren and J.R. Chelikowsky: Surface passivation method for semiconductor nanostructures, Phys. Rev. B 71, 165328 (2005).
S. Li, M.M.G. Alemany, and J.R. Chelikowsky: Ab initio calculations of the photoelectron spectra of transition metal clusters, Phys. Rev. B 71, 165433 (2005).
M.L. Tiago and J.R. Chelikowsky: First-principles GW-BSE excitations in organic molecules, Solid State Comm. (in press).
X. Huang, A. Makmal, J. R. Chelikowsky, and L. Kronik: Size dependent spintronic properties of dilute magnetic semiconductor nanocrystals, Phys. Rev. Lett. 94, 236801 (2005)
E. Ko, M.M.G. Alemany, J. J. Derby and J.R. Chelikowsky: Ab Initio Simulations of Non-Stoichiometric Cd_x Te_1-x Liquids,'' J. Chem. Phys. (in press).
C. Bekas, Y. Saad, M.L. Tiago and J.R. Chelikowsky: Computing Charge Densities with Partially Reorthogonalized Lanczos, Comp. Phys. Commun. (in press).
M. Lopez del Puerto, M.L. Tiago, I. Vasiliev and J.R. Chelikowsky: Real Space Pseudopotential Calculations of the Ground State and Excited State Properties of the Water Molecule, Phys. Rev. A (in
PI Jacqueline Chen
E. R. Hawkes and J. H. Chen, "Direct Numerical Simulation of Hydrogen Enriched Lean Premixed Methane/Air Flames," Combust. Flame, 138: 242-258. (2004).
E. R. Hawkes and J. H. Chen, "Evaluation of Models for Flame Stretch in the Thin Reaction Zones Regime," Proceedings of the Combustion Institute, 30, pp. 647-655. (2004).
J. C. Sutherland, P. J. Smith, and J. H. Chen, "Quantification of Differential Diffusion in Nonpremixed Systems," to appear in Combust. Theory and Modeling, (2005).
R. Sankaran, H. G. Im, E. R. Hawkes, and J. H. Chen, "The Effects of Nonuniform Temperature Distribution on the Ignition of a Lean Homogeneous Hydrogen-Air Mixture," Proceedings of the Combustion
Institute, 30, pp. 875-882. (2004).
R. Seiser, J. H. Frank, S. Liu, J. H. Chen, R. J. Sigurdsson, and K. Seshadri, "Ignition of Hydrogen in Unsteady Nonpremixed Flows," Proceedings of the Combustion Institute, 30, pp. 423-430. (2004).
PI Liu Chen
"Role of nonlinear toroidal coupling in electron temperature gradient turbulence", Z. Lin, L. Chen and F. Zonca; Physics of Plasmas, 12 (2005).
"A gyrokinetic electron and fully kinetic ion plasma simulation model", Y. Lin, X. Wang, Z. Lin, and L. Chen; Plasma Phys. Control. Fusion, 47 (2005).
"Calculating the Thermal Structure of Solar Active Region in Three Dimension", Y. Mok, Z. Mikic, R. Lionello, and J. Linker, Astrophys. J., 621 (2005).
PI Yang Chen
Y. Chen and S.E. Parker, "A delta-f particle method for gyrokinetic simulaitons with kinetic electrons and electromagnetic perturbations," J. Comp. Phys. 189 (2003) 463-475
S.T. Jones and S.E. Parker,"Including electron inertia without advancing electron flow," Journal of Computational Physics 191(2003) 322-327
Srinath Vadlamani, Scott E. Parker, Yang Chen and Charlson Kim, ``The particle-continuum method: an algorithmic unification of particle-in-cell and continuum methods,'' Computer Physics
Communications, 164, Issue 1-3, 1-15 Dec., 2004.
"Hybrid Kinetic-MHD simulation in general geometry," C.Kim, C.R. Sovenic and S.E. Parker, Comp. Phys. Comm., Vol. 164, p. 448 (2004).
"Modeling of field-aligned electron bursts by dispersive Alfven waves in the dayside auroral region," Y.J. Su, S.T. Jones, R.E. Ergun and S.E. Parker, J. Geophysical Research}, Vol. 109, p. A11201
"Electromagnetic gyrokinetic simulations," S. Parker,Y. Chen, W.~Wan, B.I.~Cohen, W.M.~Nevins, Phys. Plasmas., Vol. 11, p. 2494 (2004).
PI Hai-Ping Cheng
First-principles investigation of one monolayer of C60 on h-BN/Ni(111), Jingguang Che and Hai-Ping Cheng, Phys. Rev. B (accepted).
Energy Transfer in the Nanostar: The Role of Coulombic Coupling and Dynamics Wilfredo Ortiz,Brent P. Krueger, Valeria D. Kleiman, Jeffrey L. Krause,and Adrian E. Roitberg, J. Phys Chem B109, 11512
Adsorption and non-adiabatic processes in the photodesorption of molecular oxygen from the reduced TiO2 (110) surface, M. P. de Lara-Castells, A. O. Mitrushenkov, O. Roncero and J. L. Krause, Israel
J. Chem. 45, 59 (2005)
Multiple-Steering QM-MM Calculation of the Free Energy Profile in Chorismate Mutase, Alejandro Crespo, Marcelo A. Mart?, Dario A. Estrin, and Adrian E. Roitberg, 127, 6940 (2005)
Free Energy calculations with non-equilibrium methods. Applications ofthe Jarzynski Relationshipn. Hui Xiong, Alejandro Cresp, Marcelo Marti, Dario Estrin and Adrian E. Roitberg. Accepted Theoretical
Chemistry Accounts. April 2005
Non-Equilibrium Approaches to Free Energy Calculationsn. Adrian E. Roitberg. Annual Reports in Computational Chemistry. Chapter 8, page 103. Elsevier (2005)
Suppressing the spreading of continuum wave packets via chirped laser pulse, C. Manescu, J. L. Krause, K. B. Mvller and N. E. Henriksen, J. Phys. Chem. A108, 8840 (2004).
PI Wai-Yim Ching
S. Leitch, A. Moewes, L. Ouyang, W.Y. Ching, T. Sekine, "Propoerties of non-equivalent sites and band gap of spinel-phase silicon nitride using soft X-ray spectroscopy", J. Phys.: Condens. Matter 16,
6469-6476 (2004).
Paul Rulis, Lizhi Ouyang, and W.Y. Ching, "Electronic Structure and Bonding in Calcium Apatite Crystals: Hydroxyapatite, Fluorapatite, Chlorapatite, and Bromapatite", Phys. Rev. B70, 155104 (2004).
W.Y. Ching, "The electronic structure and bonding of all crystalline phases in the SiO2-Y2O3-Si3N4 phase equlibrium diagram", J. Amer. Ceram. Soc. 87[11], 1996-2013 (Feature article, 2004).
W.Y. Ching, L. Ouyang, Hongzhi Yao and Y.-N. Xu, "Electronic Structure and Bonding in the Y-Si-O-N quaternary Crystals", Phys. Rev. B70, 085105-118 (2004)
Jun Chen, Yong-Nian Xu, Paul Rulis, Lizhi Ouyang, and W.Y. Ching "Ab-inito tensor experiments on Y-doped ?=3 grain boundary in a-Al2O3", Acta Materialia, 53 [2], 403-410 (2005).
Lizhi Ouyang, P. Rulis, W.Y. Ching, M. Slouf, G. Nardin and L. Randaccio, "Electronic structure and bonding in Hydroxl-cobalamin", Spectrochimica Acta A, 61(7), 1647-1652 (2005).
Lizhi Ouyang and W.Y. Ching, "Prediction of a high-density phase of SiO2 with a high dielectric constant", Physica Status Solidi(b): Rapid Research Letters, 242[7], R64-R66 (2005).
Paul Rulis, Jun Chen, Lizhi Ouyang and W.Y. Ching, Xiaotao Su, S.H. Garofalini, "Electronic structure and bonding of the intergranular glassy films (IGF) in polycrystalline Si3N4: Ab-initio studies
and classical MD simulations", Phys. Rev. B71, 235317-1-10 (2005).
Jun Chen, L. Ouyang, and W.Y. Ching, "Molecular dynamic simulation of Y doped Sigma=37 grain boundary in a-Al2O3", Acta Materialia, 53 [15], 4111-4120 (2005).
Y.-N. Xu, P. Rulis and W.Y. Ching, Electronic structure and bonding in a new quaternary Y3Si5N9O", Phys. Rev. B72, xxxxx (in press, 2005).
W.Y. Ching, Paul Rulis, Yong-Nian Xu and L. Ouyang, "The electronic structure and spectroscopic properties of 3C, 2H, 4H, 6H, 15R, 21R polymorphs of SiC", Materials Science and Engineering A,
W.Y. Ching, Lizhi Ouyang , Paul Rulis and I. Tanaka, "Prediction of the x-ray absorption near-edge edge spectra of the new high-density phase of SiO2", Phys. Stat. Sol. (b): Rapid Research Letters,
242 (11), R94-R96 (2005).
W.Y. Ching, Lizhi Ouyang , Paul Rulis and I. Tanaka, "Prediction of the x-ray absorption near-edge edge spectra of the new high-density phase of SiO2", Phys. Stat. Sol. (b): Rapid Research Letters,
242 (11), R94-R96 (2005).
PI Mei-Yin Chou
"Quantum Confinement and Electronic Properties of Silicon Nanowires", X. Zhao, C. M. Wei, L. Yang, and M. Y. Chou, Phys. Rev. Lett. 92, 236805/1-4 (2004).
"Thermal Stability and Electronic Structure of Pb Films on Si(111)", M. H. Upton, C. M. Wei, M. Y. Chou, T. Miller, and T.-C. Chiang, Phys. Rev. Lett. 93, 026802/1-4 (2004).
"First-Principles Study of NaAlH4 and Na3AlH6 Complex Hydrides", A. Peles, J. A. Alford, Zhu Ma, Li Yang, and M. Y. Chou, Phys. Rev. B 70, 165105/1-7 (2004).
"Alternative Low-Symmetry Structure for 13-Atom Metal Clusters", C. M. Chang and M. Y. Chou, Phys. Rev. Lett. Phys. 93, 133401/1-4 (2004).
"Hydrogenation-Induced Insulating State in the Intermetallic Compound LaMg2Ni", K. Yvon, G. Renaudin, C. M. Wei and M. Y. Chou, Phys. Rev. Lett. 94, 066403/1-4 (2005).
PI Daryl Chrzan
A. M. Minor, E. T. Lilleodden, M. Jin, E. A. Stach, D. C. Chrzan and J. W. Morris, Jr. Room temperature dislocation plasticity in silicon. Philosophical Magazine 85, 323-330 (2005).
I. D. Sharp, D. O. Yi, Q. Xu, C. Y. Liao, J. W. Beeman, Z. Liliental-Weber, K. M. Yu, D. N. Zakharov, J. W. Ager, III, D. C. Chrzan and E. E. Haller. Mechanism of stress relaxation in Ge nanocrystals
embedded in SiO2. Applied Physics Letters 86, 063107/1-3 (2005).
E. Ertekin, P. A. Greaney, D. C. Chrzan and T. D. Sands. Equilibrium limits of coherency in strained nanowire heterostructures. Journal of Applied Physics 97, 114325/1-10 (2005).
M. H. Jhon, A. M. Glaeser and D. C. Chrzan. Computational study of stacking faults in sapphire using total energy methods. Physical Review B 71, 214101/1-5 (2005).
I. D. Sharp, Q. Xu, C. Y. Liao, D. O . Yi, J. W. Beeman, S. Liliental-Weber, K. M. Yu, D. N. Zakharov, J. W. Ager, III, D. C. Chrzan and E. E. Haller. Stable free standing Ge nanocrystals. Journal of
Applied Physics 97, 124316/1-4 (2005).
E. Ertekin and D. C. Chrzan. Ideal torsional strengths and stiffnesses of carbon nanotubes. Physical Review B 72, 045425/1-5 (2005).
P. A. Greaney and D. C. Chrzan. Irreversible island growth in the presence of anisotropic surface diffusion with long jumps. Accepted for publication in Physical Review B, 2005.
X. Xu, S. P. Beckman, P. Specht, E. R. Weber, D. C. Chrzan, R. P. Erni, I. Arslan, N. Browning, A. Bleloch and C. F. Kisielowski. Distortion and segregation in a dislocation core region at atomic
resolution. Accepted for publication in Physical Review Letters, 2005.
PI Catherine Chuang
Rotman, D.A., C.S. Atherton, D.J. Bergmann, P.J. Cameron-Smith, C.C. Chuang, and others, 2004: IMPACT, the LLNL 3D global atmospheric chemical transport model for the combined troposphere and
stratosphere: Model description and analysis of ozone and other trace gases, J. Geophys. Res., 109, doi:10.1029/2002JD003155.
Phillips, T.J., et al., and S.C. Xie, 2004: The CCPP-ARM Parameterization Testbed (CAPT): Where climate simulation meet with weather prediction, Bulletin of the American Meteorological Society, 85,
Xie, S.C., M.H. Zhang, J.S. Boyle, R.T. Cederwall, G.L. Potter, and W.Y. Lin, 2004: Impact of a revised convective triggering mechanism on CAM2 model simulations: results from short-range weather
forecasts, J. Geophys. Res., 109, D14102, doi:10.1029/2004JD004692.
Chin, H.-N.S., M.J. Leach, G.A. Sugiyama, J.M. Leone Jr., H. Walker, J.S. Nasstrom, and M.J. Brown, 2005: Evaluation of an urban canopy parameterization in a mesoscale model using VTMX and URBAN 2000
data, Mon. Wea. Rev., in press.
PI Bruce Cohen
James C. Kniep, Jean-Noel G. Leboeuf, and Viktor K. Decyk,"Gyrokinetic Particle-In-Cell Calculations of Ion Temperature Gradient Driven Turbulence with Parallel Nonlinearity and Strong Flow
Corrections", Comp. Phys. Comm. 164/1-3, 98-102(2004).
Progress in the peeling-ballooning model of edge localized modes: Numerical studies of nonlinear dynamics, P. B. Snyder, H. R. Wilson, and X. Q. Xu, PHYSICS OF PLASMAS, VOL. 12, 056115 (2005).
Simulation of turbulence in the divertor region of tokamak edge plasma, M.V.Umansky, T.D.Rognlien,X.Q.Xu, Journal of Nuclear Materials, VOL. 337-339, 266-270 (2005).
Simulation of plasma fluxes to material surfaces with self-consistent edge turbulenceand transport for tokamaks, T.D.Rognlien, M.V.Umansky, X.Q.Xu, R.H.Cohen, L.L.LoDestro, Journal of Nuclear
Materials, VOL. 337-339, 327-331 (2005).
J. Candy and R.E. Waltz, "Smoothness of Turbulent Transport Across a Minimum-q Surface", Phys. Plasmas 11 (2004) pp 1879-1891
F.L. Hinton, R.E. Waltz, and J. Candy, "Effect of Electromagnetic Turbulence in the Neoclassical Ohm's Law", Phys. Plasmas 11 (2004) pp2433-2440
C. Estrada-Mila, J. Candy, and R.E. Waltz, "Gyrokinetic Simulations of Ion and Impurity Transport", Phys. Plasmas 12 (2005) pp 22305-22318
J.E. Kinsey, R.E. Waltz, and J. Candy, "Nonlinear Gyrokinetic Turbulence Simulations of ExB Shear Quenching of Transport", Phys. Plasma 12 (2005) pp 062302-062310
R.E. Waltz and J. Candy, "Heuristic Theory of Nonlocally Broken Gyro-Bohm Scaling", Phys. Plasmas 12 (2005) pp 072303-072310
R.E. Waltz, J. Candy, F.L. Hinton, C. Estrada-Mila, and J.E. Kinsey, "Advances in Comprehensive GyroKinetic Simulations of Transport in Tokamaks", Nucl. Fusion 45 (2005) 741-750
R. E. Waltz, Rho-star Scaling and Physically, "Realistic Gyrokinetic Simulations of Transpiort in DIII-D", Fusion Science and Tecjhnology 48 (2005) pp 1051-1059
J. Candy, "Beta scaling of transport in microturbulence simulations", Phys. Plasmas 12 (2005) pp. 072307_
R. V. Bravenec and W. M. Nevins, A System for Direct Comparisons of Nonlinear Simulations of Turbulence with Measurements, to be published in Rev. Sci. Instrum. (2005).
"Studies of Improved Electron Confinement on NSTX," D. Stutman, K. W. Hill, S. M. Kaye, M. H. Redi, E. J. Synakowski, M. G. Bell, R. E. Bell, C. Bourdelle, W. Dorland, M. Finkenthal, S. Kubota, B. P.
LeBlanc, F. Levinton, J. E. Menard, D. R. Mikkelsen, K. Tritz, and the NSTX Team,submitted to Nuclear Fusion, early version is available as paper EX/P2-8, IAEA Fusion Energy Conference, 1-6 November
2004, Vilamoura, Portugal.
"Transport modelling and gyrokinetic analysis of advanced high performance discharges", J.E. Kinsey, F. Imbeaux, G.M. Staebler, R. Budny, C. Bourdelle, A. Fukuyama, X. Garbet, T. Tala, V. Parail, for
the ITPA Topical Group on Transport Physics and the ITB Database Working Group Nucl. Fusion 45 (2005) 450-458
B.I. Cohen, E.B. Hooper, R.H. Cohen, D.N. Hill, H.S. McLean, R.D. Wood, and S. Woodruff, C.R. Sovinec and G.A. Cone, Simulation of Spheromak Evolution and Energy Confinement, Phys. Plasmas 12, 056106
E. B. Hooper, T. A. Kopriva, B. I. Cohen, D. N. Hill, H. S. McLean, R. D. Wood, S. Woodruff, C. R. Sovinec, A Magnetic Reconnection Event in a Driven Spheromak, accepted by Phys. Plasmas (Aug. 2005).
R.D. Wood, B.I. Cohen, D.N. Hill, S. Woodruff, H.S. McLean, E.B. Hooper, L.L. LoDestro, L.D. Pearlstein, D.D. Ryutov, B.W. Stallard, M.V. Umansky, C.T. Holcomb, T. Jarboe, C.R. Sovinec, and G.A.
Cone, Improved Operation and Modeling of the SSPX Spheromak, 20th IAEA Fusion Energy Conference, Vilmoura, Portugal (Nov. 1-6, 2004), EX/C1-3.
D.D. Ryutov, B.I Cohen, R.H. Cohen, E.B. Hooper, The effect of artificial diffusivity on the flute instability, Phys. Plasmas 12, 084504 (2005).
Simulation of plasma fluxes to material surfaces with self-consistent edge turbulence and transport for tokamaks, T.D.Rognlien, M.V.Umansky, X.Q.Xu, R.H.Cohen, L.L.LoDestro, Journal of Nuclear
Materials, Vol. 337-339, 327-331 (2005).
Blob Dynamics in 3D BOUT Simulations of Tokamak Edge Turbulence, D. A. Russell, D. A. D Ippolito, J. R. Myra, W. M. Nevins, and X. Q. Xu, Physical Review Letters, Vol. 93, 265001-4 (2004).
Density Effects on Tokamak Edge Turbulence and Transport with Magnetic X-points, X.Q. Xu, R.H. Cohen, W.M. Nevins, T.D. Rognlien, D.D. Ryutov, M.V. Umansky, L.D. Pearlstein, R.H. Bulmer, D.A.
Russell, J.R. Myra, D.A. D'Ippolito, M. Greenwald, P.B. Snyder, M.A. Mahdavi, 20th IAEA Fusion Energy Conference Vilamoura, Portugal, 1-6 November 2004, IAEA-CN-116/TH/1-5, (2004).
Convective Transport in Tokamaks, D. A. D'Ippolito, J. R. Myra, D. A. Russell, S. I. Krasheninnikov, A. Yu. Pigarov, G. Q. Yu, X. Q. Xu, and W. M. Nevins, 20th IAEA Fusion Energy Conference
Vilamoura, Portugal, 1-6 November 2004, IAEA-CN-116/TH/P6-2, (2004).
Correlation of Density Pedestal Width and Neutral Penetration Length, X. Q. Xu, W. M. Nevins, R. H. Cohen, T. D. Rognlien, and M. V. Umansky, Contributions to Plasma Physics, Vol. 44, 105 - 110
Turbulence in the Divertor Region of Tokamak Edge Plasma, M. V. Umansky, , T.D.Rognlien, X.Q.Xu, R.H.Cohen, and W. M. Nevins, Contributions to Plasma Physics , Vol. 44, 182 - 187 (2004).
Self-consistent simulation of turbulence and transport in tokamak edge plasmas, T. D. Rognlien, M.V.Umansky, X.Q.Xu, and R. H. Cohen, Contributions to Plasma Physics, Vol. 44, 188 - 193 (2004).
PI Marvin Cohen
R.B. Capaz, C.D. Spataru, P. Tangney, M.L. Cohen, and S.G. Louie, "Hydrostatic pressure effects on the structural and electronic properties of carbon nanotubes", Physica Status Solidi (b) 241, 3352
A. Trave, F.J. Ribeiro, S.G. Louie and M.L. Cohen, "Energetics and structural characterization of C60 polymerization in BN and carbon Nanopeapods", Phys. Rev. B 70, 205418 (2004).
W.D. Luo, W.H. Duan, S.G. Louie and M.L. Cohen, "Structural and electronic properties of n-doped and p-doped SrTiO3", Phys. Rev. B 70, 214109 (2004).
P.H. Zhang, W.D. Luo, V.H. Crespi, M.L. Cohen and S.G. Louie, "Doping effects on the electronic and structural properties of CoO2 An LSDA U study", Phys. Rev. B 70, 085108 (2004)
V. Brouet, W.L. Yang, X.J. Zhou, H.J. Choi, S.G. Louie, M.L. Cohen, A. Goldoni, F. Parmigiani, Z. Hussain and Z.X. Shen, "Orientation- dependent C60 electronic structures revealed by photoemission
spectroscopy", Phys. Rev. Lett. 93, 197601 (2004).
M. Ishigami, J.D. Sau, S. Aloni, M.L. Cohen, and A. Zettl, "Observation of the giant stark effect in boron nitride nanotubes", Phys. Rev. Lett. 94, 56804 (2005).
P.H. Zhang, S.G. Louie, and M.L. Cohen, "Nonlocal screening, electron-phonon coupling, and phonon renormalization in metals", Phys. Rev. Lett. 94, 225502 (2005).
P.H. Zhang, R.B. Capaz, M.L. Cohen, and S.G. Louie, "Theory of sodium ordering in NaxCoO2", Phys. Rev. B 71, 153102 (2005).
PI John Cooke
R. F. Klie, J. P. Buban, M. Varela, A. Francescheti, C. Jooss, Y. Zhu, N. D. Browning, S. T. Pantelids, and S. J. Pennycook, "Enhanced Current Transport at Grain Boundaries in High-Tc
Superconductors", Nature 435, 475-478 (2005).
S. A. Chambers, J. R. Williams, M. A. Henderson, A. G. Joly, M. Varela, and S. J. Pennycook, "Structure, Band Offsets and Photochemistry at Epitaxial &alpha-Cr2O3/ &alpha-Fe2O3 Heterojunctions",
Surface Science Letters 587, L197-L207, (2005).
Y. Yan, M. M. Al-Jassim, M. F. Chisholm, L. A. Boatner, S. J. Pennycook, and M. Oxley, "[1100] / [1102] Twin Boundaries in Wurtzite ZnO and Group-III-Nitrides"(PDF 373), Phys. Rev. B 71,
041301-0413094, (2005).
S.W. Wang, A.Y. Borisevich, S.N. Rashkeev, M.V. Glazoff, K. Sohlberg, S.J. Pennycook, and S.T. Pantelides, "Dopant adsorbed as single atoms prevent degradation of catalysts", Nature Materials 3, 274
H.S. Baik, M. Kim, G.S. Park, S.A. Song, M. Varela, A. Franceschetti, S.T. Pantelides, and S.J. Pennycook, "Interface structure and non-stoichiometry in HfO2 dielectrics", Appl. Phys. Lett. 85, 672
M. Califano, A. Zunger, A. Franceschetti, "Efficient inverse Auger recombination at threshold in CdSe nanocrystals", Nano Letters 4, 525-531 (2004).
PI Michael Cross
Cross, Michael K.-H.Chiam, M.C.Cross, H.S.Greenside, and P.F.Fischer, "Transport of passive tracers by spiral defect chaos in Rayleigh-Benard convection", Phys. Rev. E71, 036205 (2005)
PI Peter Cummings
V. Meunier and B. Sumpter, Journal of Chemical Physics in press (2005).
J. Shin, V. Meunier, A. P. Baddorf, and S. V. Kalinin, Applied Physics Letters 85, 4240 (2004).
V. Meunier, S. V. Kalinin, J. Shin, A. P. Baddorf, and R. J. Harrison, Physical Review Letters 93 (2004).
A. Calzolari, C. Cavazzoni, and M. B. Nardelli, Physical Review Letters 93 (2004).
Y.-S. Li, M. Buongiorno Nardelli, and N. Marzari, Phys. Rev. Lett. in press (2005).
A. Ferretti, A. Calzolari, R. Di Felice, F. Manghi, M. J. Caldas, M. B. Nardelli, and E. Molinari, Phys. Rev. Lett. 94 (2005).
L. Guo and E. Luijten, Reversible gel formation of triblock copolymers studied by molecular dynamics simulation, J. Polym. Sci. Part B: Polym. Phys. 43, 959� (2005).
C. Zhang, M.-H. Du, H.-P. Cheng, X.-G. Zhang, A. E. Roitberg, and J. L. Krause, ''Coherent Electron Transport through an Azobenzene Molecule: A Light-Driven Molecular Switch,'' Phys. Rev. Lett. 92,
158301 (2004).
C. McCabe, S. C. Glotzer, J. Kieffer, M. Neurock and P. Cummings, Multiscale Simulation of the Synthesis, Assembly and Properties of Nanostructured Organic/Inorganic Hybrid Materials, Journal of
Theoretical and Computational Nanoscience, 1(4), 265-279 (2004).
A. Striolo, C. McCabe and P. T. Cummings, Thermodynamic and Transport Properties of Polyhedral Oligomeric Silsesquioxanes in Poly(Dimethyl Siloxane), Journal of Physical Chemistry B, 109 14300 -
14307 (2005).
Rivera, J. L., McCabe, C., and Cummings, P. T., The oscillatory damped behavior of incommensurate double-walled carbon nanotubes, Nanotechnology 16 (2005) 186-198.
Leng, Y. and Cummings, P. T., Fluidity of hydration layers nanoconfined between mica surfaces, Phys. Rev. Letts., 94 art. no. 026101 (2005).
Striolo, A., Chialvo, A. A., Gubbins, K. E. and Cummings, P. T., Water in carbon nanotubes: Adsorption isotherms and thermodynamic properties from molecular simulation, Journal of Chemical Physics
122 Art. No. 234712. (2005).
Paricaud, P., Predota, M., Chialvo, A. A. and Cummings, P. T., "From dimer to condensed phases at extreme conditions: Accurate predictions of the properties of water by a Gaussian charge polarizable
model," Journal of Chemical Physics 122 Art. No. 244511 (2005).
Naicker, P. K., Cummings, P. T., Zhang, H., and Banfield, J. F., Characterization of Titanium Dioxide Nanoparticles Using Molecular Dynamics Simulations. J. Phys. Chem. B 109 (2005) 15243-15249.
A. Striolo, C. McCabe and P. T. Cummings, Effective Interactions between Polyhedral Oligomeric Sislesquioxanes Dissolved in normal Hexadecane from Molecular Simulation, Macromolecules, in press
PI Larry Curtiss
Mechanisms of lithium transport in amorphous polyethylene oxide Y. H. Duan, J. W. Halley, L. A. Curtiss, P. C. Redfern JOURNAL OF CHEMICAL PHYSICS 122 (5): Art. No. 054702 FEB 1 2005
A. S. Barnard, P. Zapol, L.A. Curtiss, Anatase and Rutile Surfaces with Adsorbates Representative of Acidic and Basic Conditions, Surf. Sci., 582 172 (2005).
A.S. Barnard, P. Zapol, L. Curtiss, Modeling the Morphology and Phase Stability of TiO2 Nanocrystals in Water, J. Chem. Theory. Comput. 1, 107-116 (2005).
A. Barnard , P. Zapol, Predicting the Energetics, Phase Stability and Morphology Evolution of Faceted and Spherical Anatase Nanocrystals, J. Phys. Chem. B 108, 18435 (2004).
PI Daniel D'Ippolito
D'Ippolito, Daniel "Blob Dynamics in 3D BOUT Simulations of Tokamak Edge Turbulence," D. A. Russell, D. A. D'Ippolito, J. R. Myra, W. M. Nevins, and X. Q. Xu, Phys. Rev. Lett. 93, 265001 (2004).
"Edge instability regimes with applications to blob transport and the quasi-coherent mode," J. R. Myra and D. A. D'Ippolito, accepted for publication in Phys. Plasmas (2005).
PI Valerie Daggett
The Scientist. 19(7) April 11, 2005. Unraveling Protein Folding. p42
PI Ronald Davidson
"Kinetic Description of Neutralized Drift Compression and Transverse Focusing of Intense Ion Charge Bunches", R. C. Davidson and H. Qin, Physical Review Special Topics on Accelerators and Beams 8, in
press (2005).
"Darwin Model for Intense Charged Particle Beams", E. A. Startsev, W. W. Lee and R. C. Davidson, Proceedings of the 2005 Particle Accelerator Conference, in press (2005).
"Nonlinear Delta-f Particle Simulations of Collective Effects in High-Intensity 3D Bunched Beams", H. Qin, R. C. Davidson and E. A. Startsev, Proceedings of the 2005 Particle Accelerator Conference,
in press (2005).
"Anisotropy-Driven Collective Instabilities in Intense Charged Particle Beams", E. A. Startsev, R. C. Davidson and H. Qin, Proceedings of the 2005 Particle Accelerator Conference, in press (2005).
"Three- Dimensional Simulation Studies of Temperature Anisotropy Instability in Intense Charged Particle Beams ", E. A. Startsev, R.C. Davidson and H. Qin, Nuclear Instruments and Methods in Physics
Research A544, 125 (2005).
"Drift Compression and Final Focus Options for Heavy Ion Fusion", H. Qin, R. C. Davidson, J.J. Barnard and E.P. Lee, Nuclear Instruments and Methods in Physics Research A544, 255 (2005).
"Chaotic Particle Trajectories in High-Intensity Finite-Length Charge Bunches", S.R. Hudson, H. Qin and R.C. Davidson, Nuclear Instruments and Methods in Physics Research A544, 458 (2005).
"The Electromagnetic Darwin Model for Intense Charged Particle Beams", W.W. Lee, R.C. Davidson, E.A. Startsev and H. Qin, Nuclear Instruments and Methods in Physics Research A544, 353 (2005).
E.V. Belova, et al., Advances in the numerical modeling of field-reversed configurations, invited talk, 47th APS DPP Meeting, Denver CO, October 2005 (to be published in Phys. Plasmas 13, 2005).
E.V. Belova, R. C. Davidson, H. Ji, M. Yamada, Kinetic effects on the stability properties of field-reversed configurations: II. Nonlinear evolution, Phys. Plasmas 11, 2523 (2004).
N.N. Gorelenkov, E. V. Belova, H. L. Berk, C. Z. Cheng, E. Fredrickson, W. Heidbrink, S. Kaye, G. Kramer, Beam-ion-driven instabilities in NSTX, Phys. Plasmas 11, 2586 (2004).
E.D. Fredrickson, W.W. Heidbrink, C.Z. Cheng, N.N. Gorelenkov, E. Belova, A.W. Hyatt, G.J. Kramer, J. Manickam, J. Menard, R. Nazikian, T.L. Rhodes, and E. Ruskov, Study of aspect ratio efects on
kinetic MHD instabilities in NSTX and DIII-D, Proceedings of the 20th Int. Conf. Vilamoura, 2004, paper IAEA-EX5-3, (International Atomic Energy Agency, Vienna, 2004).
E.V.Belova, R.C. Davidson, H. Ji, M. Yamada, C.D. Cothran, M.R. Brown, M.J. Schafer, Numerical study of the formation, ion spin-up and nonlinear stability properties of field-reversed configurations,
Proceedings of the 20th Int. Conf. Vilamoura, 2004, paper IAEA-IC/P6-34 (International Atomic Energy Agency, Vienna, 2004).
S.P. Gerhardt, M. Yamada, H. Ji, E. Belova et al., FRC Studies via spheromak merging in the Magnetic Reconnection Experiment, Bull. Am. Phys. Soc. 49, 192, 2004.
M.R. Brown et al., Doublet CT studies at SSX-FRC, Bull. Am. Phys. Soc. 49, 192, 2004.
E.V. Belova et al., Conducting shell and energetic beam ion stabilization of the MHD modes in the FRC, Bull. Am. Phys. Soc. 49, 192, 2004.
PI Eric DeWeaver
DeWeaver, E., and C. M. Bitz, 2004: Atmospheric circulation and Arctic sea ice in CCSM3 at medium and high resolution. J. Climate, submitted to the special edition on the NCAR CCSM3.
DeWeaver, E., and S. Nigam. 2004: On the Forcing of ENSO Teleconnections by Anomalous Heating and Cooling. Journal of Climate: Vol. 17, No. 16, pp. 3225-3235.
PI David Dean
Coupled-cluster approach to nuclear physics, Phys. Rev. C69, 054320 (2004), D.J. Dean and M. Hjorth-Jensen
Coupled-cluster calculations of ground and excited states of nuclei, Phys. Rev. Lett. 92, 132501 (2004), K. Kowalski, D.J. Dean, M. Hjorth-Jensen, T. Papenbrock, and P. Piecuch
Effective interactions and the nuclear shell model, Prog. Part. Nucl. Phys. 53, 419 (2004), D.J. Dean, T. Engeland, M. Hjorth-Jensen, M.P. Kartamyshev, and E. Osnes.
Neutral-current Neutrino-nucleus Cross-sections for A ~ 50-65 Nuclei, A. Juodagalvis, K. Langanke, G. Martinez-Pinedo, W. R. Hix, D. J. Dean, and J. M. Sampaio, Nucl. Phys. A747, 87 (2005)
Gamow-Teller GT distributions in nuclei with mass 90<=A<=97, A. Juodagalvis and D.J. Dean, Phys. Rev. C72, 024306 (2005)
Ab initio coupled-cluster study of 16O, M. Wloch, D.J. Dean, J.R. Gour, M. Hjorth-Jensen, K. Kowalski, T.Papenbrock, and P. Piecuch, Phys. Rev. Lett. 94, 212501 (2005).
Thermal properties of N=40 isotopes, K. Langanke, D.J. Dean, and W. Nazarewicz, in press, Nucl. Phys A (2005).
Quadrupole deformation of the self-conjugate nucleus 72Kr, A. Gade, D. Bazin, A. Becerril, C.M. Cambell, J.M. Cook, D.J. Dean, D.-C. Dinca, T. Glasmacher, G.W. Hitt, M.E. Howard, W.F. Mueller, H.
Olliver, J.R. Terry, and K. Yoneda, in press, Phys. Rev. Lett. (2005)
Nuclear electron capture in core-collapse supernovae, W.R. Hix, O.E.B. Messer, A. Mezzacappa, J. Sampaio, K. Langanke, G. Martinez-Pinedo, M. Liebendoerfer, and D.J. Dean, Nucl. Phys. A758, 31
PI James Demmel
E. J. Riedy. "Parallel Combinatorial Computing and Sparse Matrices," SIAM Computational Science and Engineering. February 2005.
J. Demmel, R. Vuduc, and K. Yelick. "The BeBOP Interface for a Self-Adapting Sparse Matrix Kernel Library," SIAM Computational Science and Engineering. February 2005.
PI Stephen Derenzo
Derenzo SE, Bourret-Courchesne E, Weber MJ and Klintenberg. MK. Scintillation studies of CdS(In): effects of codoping strategies. Nucl Instr Meth 2005; A537:261-265. (LBNL 55516)
Shah KS, Glodo J, Klugerman M, Higgins W, Gupta T, Wong P, Moses WW, Derenzo SE, Weber MJ and Dorenbos P. LuI3:Ce - a new scintillator for gamma ray spectroscopy. IEEE Trans Nucl Sci 2004;
Moses WW, Choong WS, Derenzo SE, Bross AD, Dysert R and al. e. Observation of fast scintillation of cryogenic PbI2 with VLPCs. IEEE Trans Nucl Sci 2004; NS-51:2533-2536.
Klassen NV, Shmurak SZ, Shmyto IM, Strukova GK, Derenzo SE and Weber MJ. Structure and luminescence spectra of lutetium and yttrium borates synthesized from ammonium nitrate melt. Nucl Instr Meth
2005; A537:144-148.
Kurlov VN, Klassen NV, Dodonov AM, Shmurak SZ, Strukova GK, Shmyto IM, Derenzo SE and Weber MJ. Growth of YAG:Re3+ (Re=Ce, Eu) shaped crystals by the EFG/Stepanov technique. Nucl Instr Meth 2005;
Shiran N, Gektin A, Neicheva S, Weber M, Derenzo S, Kirm M, True M., Shpinkov I, Spassk D, Shimamura K and Ichinose N. Energy transfer in pure and Ce-doped LiCaAlF6 and LiSrAlF6 crystals. Nucl Instr
Meth 2005; A537:266-270.
Shmurak SZ, Strukova GK, Shmyto IM, Klassen NV, Kobelev NP, Derenzo SE and Weber MJ. Studies of nanocrystalline rare earth gallate and aluminate scintillators prepared by a new method. Nucl Instr
Meth 2005; A537:149-153.
Qi J, Huber JS, Huesman RH, Moses WW, Derenzo SE, et al. Septa design for a prostate specific PET camera. IEEE Trans Nucl Sci 2005; NS-52:107-113.
PI Tomas Diaz de la Rubia
"Molecular dynamics simulation of sputtering from a cylindrical track: EAM vs. pair potentials", O.J. Tucker, D. Ivanov, R.E. Johnson, L. Zhigilei and E.M. Bringa, Nucl. Instr. and Meth. Phys. Res. B
228, 163 (2005).
"Shock-induced void collapse in fcc metals", L. Davila, P. Erhart, E.M. Bringa, M.A. Meyers, V.A. Lubarda, M. Schneider, R. Becker and M. Kumar, Applied Physics Letters 86, 161902 (2005).
"Atomistic simulation of shocks in porous metals", P. Erhart, E. Bringa and M. Kumar, Phys. Rev. B, Phys. Rev. B 72, 052104 (2005).
"Classical Many-Body Potential for Concentrated Alloys and the Inversion of Order in Iron-Chromium Alloys", A. Caro, D. A. Crowson, and M. Caro, Phys. Rev. Lett. 95, 075702 (2005).
"Simulations of carbon sputtering in fusion reactor divertor plates", J. Marian, L. A. Zepeda-Ruiz, G. H. Gilmer, E. M. Bringa, and T. Rognlien, Physica Scripta, in press.
"High-Energy Ion Tracks in Thin Films", D.M. Follstaedt, A.K. Norman, P. Rossi, B.L. Doyle, F.D. McDaniel and E.M. Bringa, Nucl. Instr. and Meth. in Phys. Res. B, in press.
"Thermodynamics of Fe-Cu Alloys as Described by a Classic Potentials", A. Caro, M. Caro, E. M. Lopasso, P. E. A. Turchi, and D. Farkas, accepted in J. Nucl. Mater.
"Atomistic simulation of grain boundary pinning in CuFe alloys", L.A. Zepeda-Ruiz, G.H. Gilmer, B. Sadigh, A. Caro, and T. Oppelstrup, accepted in Appl. Phys. Lett.
"Wave propagation in polycrystals", E.M. Bringa, A. Caro, M. Victoria and N. Park, Journal of Metals, September 2005, in press.
"Ultra-hard nanocrystalline metals by shock loading", E.M. Bringa et al., Science, 2005, in press.
"Shock deformation of fcc metals on sub-nanosecond time scales", E. M. Bringa et al., considered for publication in Nature.
PI Dimitre Dimitrov
D. A. Dimitrov, D. L. Bruhwiler, J. R. Cary, P. Messmer, P. Stoltz, Kevin L. Jensen, Donald W. Feldman, and Patrick G. O'Shea, Development of Advanced Models for 3D Photocathode PIC Simulations, to
appear in the Proceedings of the 2005 Particle Accelerator Conference (2005).
C. Nieter and J.R. Cary, "VORPAL: a versatile plasma simulation code", J. Comp. Phys. 196 (2004), p. 448.
PI Chris Ding
Y. He and C. Ding, Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures., International Journal of High Performance Computing Applications, to appear in August 2005.
A.P. Craig, R.L. Jacob, B. Kauffman, T. Bettge, J. Larson, E. Ong, C. Ding, and Y. He, CPL6: The New Extensible, High-Performance Parallel Coupler for the Community Climate System Model,
International Journal of High Performance Computing Applications, to appear in August 2005.
PI Julie Ditri
V. Y. Borovkov, S. P. Kolesnikov, V. I. Kovalchuk, J. L. d'Itri, "Probing Adsorption Sites of Silica-Supported Platinum with 13C16O 12C16O and 13C18O 12C16O Mixtures. A Comparative FTIR
Investigation." Journal of Physical Chemistry B, in press.
V. I. Avdeev, V. I. Kovalchuk, G. M. Zhidomorov, J. L. d'Itri, "Ethylene Adsorption on the Pt-Cu Bimetallic Catalysts. Density Functional Theory Cluster Study." Surface Science, 583 (2005) 46-59.
W. D. Rhodes, J. L. Margitfalvi, I. Borbath, K. Lazar, V. I. Kovalchuk, J. L. d'Itri, "Hydrogen-Assisted 1,2-Dichloroethane Dechlorination Catalyzed by Pt-Sn/SiO2 Catalysts of Different
Preparations." Journal of Catalysis, 230 (2005) 86-97.
PI Sebastian Doniach
W.J. Zheng, S. Doniach. A comparative study of motor-protein motions by using a simple elastic-network model. Proc. Nat. Acad. Sci. (U.S.A.) 100.23: 13253-13258 (November 11, 2003).
Y. Bai, R. Das, D. Herschlag, S. Doniach. Probing Counterion Modulated Repulsion and Attraction Between Nucleic Acid Duplexes in Solution. Proc. Nat. Acad. Sci. U.S.A. 102.4: 1035-1040 (January 25,
Jan Lipfert, Joel Franklin, Fang Wu and Sebastian Doniach Protein Misfolding and Amyloid Formation for the Peptide GNNQQNY from Yeast Prion Protein Sup35: Simulation by Reaction Path Annealing. J.
Mol. Biol. 349:648-658 (2005)
PI William Dorland
K. Hallatschek and W. Dorland, Giant Electron Tails and Passing Electron Pinch Effects in Tokamak-Core Turbulence, Phys. Rev. Lett. 95, 055002 (2005).
M. H. Redi, W. Dorland, C. L. Fiore, J. A. Baumgaertel, E. M. Belli, T. S. Hahm, G. W. Hammett, and G. Rewoldt, Microturbulent drift mode stability before internal transport barrier formation in the
Alcator C-Mod radio frequency heated H-mode, Phys. Plasmas 12, 072519 (2005).
B. N. Rogers and W. Dorland, Noncurvature-driven modes in a transport barrier, Phys. Plasmas 12, 062511 (2005)
D. J. Applegate et al., Microstability in a ``MAST-like'' high confinement mode spherical tokamak equilibrium, Phys. Plasmas 11, 5085 (2004).
B. D. Jemella, J. F. Drake and M. A. Shay, Singular structure of magnetic islands resulting from reconnection, Phys. Plasmas 11, 5668, 2004.
J. F. Drake, M. Swisdak, W. Thongthai and M. A. Shay, Production of energetic electrons during magnetic reconnection, Phys. Rev. Lett. 94, 095001, 2005.
M. Swisdak, J. F. Drake, J. G. McIlhargey, and M. A. Shay, The transition from anti-parallel to component magnetic reconnection, J. Geophys. Res. 110, A05210, 2005.
P. Cassak, M. A. Shay and J. F. Drake, A catastrophe model for the onset of fast magnetic reconnection, Phys. Rev. Lett. submitted 2005.
J. F. Drake and M. A. Shay, The fundamentals of collisionless reconnection, in Reconnection of Magnetic Fields: Magnetohydrodynamics and Collisionless Theory and Observations, J. Birn and E. R.
Priest, editors, Cambridge University Press (Cambridge, UK), 2005.
R. G. Kleva and P. N. Guzdar, Edge-localized modes and edge transport in spherical tokamaks, Phys. Plasmas 12, 052518 (2005).
R. G. Kleva and P. N. Guzdar, Ballooning mode stability in high beta tokamaks with a q=1 magnetic island, Phys. Plasmas 11, 4983 (2004).
R. G. Kleva, P. N. Guzdar and W. Dorland, Edge transport and the low-to-high transition in tokamaks with D-shaped magnetic flux surfaces, Phys. Plasmas 11, 4280 (2004).
PI German Drazer
Hysteresis, force oscillations and non-equilibrium effects in the adhesion of spherical nanoparticles to atomically smooth surfaces, G. Drazer, B. Khusid, J. Koplik and A. Acrivos, Phys. Rev. Lett.
95 016102 (2005)
Wetting and particle adsorption in nanoflows, G. Drazer, B. Khusid, J. Koplik and A. Acrivos, Phys. Fluids 17 017102 (2005)
Lattice-Boltzmann method for non-Newtonian fluid flows, S. Gabbanelli, G. Drazer, and J. Koplik, Phys. Rev. E. 72, 046312 (2005)
Permeability anisotropy induced by the shear displacement of rough fracture walls, H. Auradou, G. Drazer, J. P. Hulin, and J. Koplik, Water Resources Research 41, W09423 (2005)
Self-Affine Fronts in Self-Affine Fractures: Large and Small-Scale Structure, G. Drazer, J. Koplik, H. Auradou and J.P. Hulin, Phys. Rev. Lett. 92, 014501 (2004).
PI Philip Duffy
J. Iorio, P.B. Duffy. M. Khairoutdinov, and D. Randall, 2004: Effect of model resolution and subgrid scale physics on daily precipitation in the continental United States; Climate Dynamics, 23,
243-258, 2004.
PI Thomas Duguet
M. Bender, G. F. Bertsch, P.-H. Heenen, Phys. Rev. Lett. 94 (2005) 102503
M. Bender, P. Bonche, T. Duguet, and P.-H. Heenen, Phys. Rev. C 69 (2004) 064303
T. Duguet, Phys. Rev. C 69, 054317 (2004)
PI Charlotte Elster
Three-Body Scattering without Partial Waves, H. Liu, Ch. Elster, W. Gloeckle, AIP Conference Proceedings, Vol. 768, p. 430, NY 2005 (invited contribution)
PI Eric Esarey
C.G.R. Geddes, Cs. Toth, J. van Tilborg, E. Esarey, C.B. Schroeder, J.R. Cary and W.P. Leemans, "Guiding of Relativistic Laser Pulses by Preformed Plasma Channels," Phys. Rev. Lett., accepted (2005).
C.G.R. Geddes, Cs. Toth, J. van Tilborg, E. Esarey, C.B. Schroeder, D.L. Bruhwiler, C. Nieter, J.R. Cary and W.P. Leemans, "Production of high quality electron bunches by dephasing and beam loading
in channeled and unchanneled laser plasma accelerators," Phys. Plasmas 12, 056709 (2005).
J.R. Cary, R. Giacone, C. Nieter, D.L. Bruhwiler, E. Esarey and W.P. Leemans, "Clean beams from optical injection with a cleanup pulse," Phys. Plasmas 12, 056704 (2005)
C.G.R. Geddes, Cs. Toth, J. van Tilborg, E. Esarey, C.B. Schroeder, D.L. Bruhwiler, C. Nieter, J.R. Cary and W.P. Leemans, "High-quality electron beams from a laser wakefield accelerator using
plasma-channel guiding," Nature 431 (2004), p. 538.
P. Messmer and D.L. Bruhwiler, "A parallel electrostatic solver for the VORPAL code," Comp. Phys. Comm. 164 (2004), p. 118.
PI Roland Faller
Q. Sun, R. Faller J Phys Chem B 109,15714 (2005) Molecular Dynamics of a Polymer in Mixed Solvent: Atactic Polystyrene in a Mixture of Cyclohexane and N,N-Dimethylformamide
PI William Fawley
A.A. Zholents et al., "CURRENT-ENHANCED SASE USING AN OPTICAL LASER AND ITS APPLICATION TO THE LCLS", Proceedings of the 2004 FEL Conference, pp. 582-585.
A.H. Lumpkin, W.M. Fawley, and D.W. Rule, "A CONCEPT FOR Z-DEPENDENT MICROBUNCHING MEASUREMENTS WITH COHERENT X-RAY TRANSITION RADIATION IN A SASE FEL", Proceedings of the 2004 FEL Conference, pp.
PI Andrew Felmy
E.J. Bylaska, M. Dupuis, and P.G. Tratnyek (2005) Ab Initio Electronic Structure Study of One-Electron Reduction of Polychlorinated Ethylenes, J. Phys. Chem. A, vol. 109, 5905-5916.
T.W. Swaddle, J. Rosenqvist, P. Yu, E. Bylaska, B.L. Phillips, W.H. Casey (2005) Kinetic Evidence for Five-Coordination in AlOH(aq)2+ Ion, Science, vol. 308, 1450-1453.
E.J. Bylaska, D.A. Dixon, A.R. Felmy, E. Apra, T.L. Windus, C.-G. Zhan, and P.G. Tratnyek (2004) The Energetics of the Hydrogenolysis, Dehydrohalogenation, and Hydrolysis of
4,4'-Dichloro-diphenyl-trichloroethane from ab initio Electronic Structure Theory, J. Phys. Chem A, vol 108, 5883-5893.
R. Miehr, P.G. Tratnyek, J.Z. Bandstra, M.M. Scherer, M.J. Alowitz, and E.J Bylaska (2004) Diversity of Contaminant Reduction Reactions by Zerovalent Iron: Role of the Reductate, Environ. Sci.
Technol., vol. 38, 139-147.
PI Graham Fleming
Two-dimensional spectroscopy of electronic couplings in photosynthesis, T. Brixner, J. Stenger, H. M. Vaswani, M. Cho, R. E.Blankenship and G. R.Fleming, Nature, 434, 625 (2005).
Exciton Analysis in 2D Electronic Spectroscopy, M. Cho, H. M. Vaswani, T. Brixner, J. Stenger and G. R. Fleming, J. Phys. Chem. B, 109, 10542 (2005).
Carotenoid Cation Formation and the Regulation of Photosynthetic Light Harvesting, N.E. Holt, D. Zigmantas, L. Valkunas, X-P. Li, K. K. Niyogi and G. R. Fleming, Science, 307, 433-436 (2005).
Electronic Couplings and Energy Transfer Dynamics in the Oxidized Primary Electron Donor of the Bacterial Reaction Center, X. J. Jordanides, G. D. Scholes, W. A. Shapley, J. R. Reimers, and G. R.
Fleming. J. Phys. Chem. B., 108, 1753-1765 (2004).
The Mechanism of Energy Transfer and Trapping in Photosystem I, H. M. Vaswani, M. Yang, A. Damjanovic, and G. R. Fleming. Femtochemistry and Femtobiology, Ultrafast Events in Molecular Science, eds.
M.M. Martin and J. T. Hynes, Elsevier, 401-408 (2004).
Toward an Understanding of the Mechanism of Nonphotochemical Quenching in Green Plants, N. E. Holt, G. R. Fleming, and K. K. Niyogi. Biochem. 43, 8281-8289 (2004).
Quantum Mechanics for Plants, G. R. Fleming and G. D. Scholes. News and Views, Nature, 256-257 (2004).
Femtosecond Fluorescence Upconversion Studies of Light Harvesting by Beta Carotene in Oxygenic Photosynthetic Core Proteins, N.E. Holt, J.T.M. Kennis, and G.R. Fleming. J Phys Chem B. 108,
19029-19035 (2004).
The Design of Natural Photosynthetic Antenna Systems, H.M. Vaswani, N.E. Holt and G.R. Fleming. In Artificial Photosynthesis, Chapter 4. ed. A. Collings, Wiley VCH, 67-85 (2005).
Lord George Porter Medal Lecture: Carotenoid-Chlorophyll Complexes: Ready-to- Harvest, N.E Holt, H.M. Vaswani, and G.R. Fleming, Pure and Applied Chemistry (IUPAC), 77, 925-945 (2005).
PI Ching-Yao Fong
M. C. Qian, C. Y. Fong, L. H. Yang, J. E. Pask, and S. Dag, 'Spin-polarized ballistic transport channel in a thin superlattice composed of half-metallic compound with zinc-blende structure', Phys.
Rev. B71, 12414 (2005).
S. Tongay, S. Dag, E. Durgun, R. T. Senger, C. Y. Fong, and S. Ciraci, 'Half-metallic propertie of linear chains composed og silicon- and corbon-transitional metel compounds', to appear in Phys. Rev.
C. Y. Fong, M. C. Qian, 'Digital ferromagnetic heterostructure composed of Mn in Si', Bull. Am. Phys. Soc. 50, 1055 (2005).
C. Y. Fong, M. C. Qian, W. Pickett, 'Spin-polarized ballistic transport in a thin superlattice of zincblende half metallic compounds', Bull. Am. Phys. Soc. 50, 1380 (2005).
PI Michael Fox-Rabinovitz
Fox-Rabinovitz, M. S., E. H. Berbery, L.L. Takacs, and R.C. Govindaraju, 2005: A multiyear ensemble simulation of the U.S. climate with a stretched-grid general circulation model, Mon. Wea. Rev.,
Vol. 133, No. 9, pp. 2505-2525.
Park, R. J., K. E. Pickering, D. J. Allen, G. L. Stenchikov, M. S. Fox-Rabinovitz, 2004: Global simulation of tropospheric ozone using the University of Maryland Chemical Transport Model (UMD-CTM) 1.
Model description and evaluation, J. Geophys. Res., 109, D09301, doi:10.1029/2003JD004266.
Park, R. J., K. E. Pickering, D. J. Allen, G. L. Stenchikov, and M.S. Fox-Rabinovitz, 2004: Global simulation of tropospheric ozone using the University of Maryland Chemical Transport Model
(UMD-CTM): 2. Regional downscaling of transport and chemistry over the Central United States. J. Geophys. Res., v. 109, D09303.
Allen, D. J., K. E. Pickering, and M. Fox-Rabinovitz, 2004: Evaluation of pollutant outflow and CO sources during TRACE-P using model-calculated, aircraft-based, and MOPITT-derived CO concentrations,
J. Geophys. Res., vol. 109, D15S03, doi:10.1029/2003JD2003004250.
Krasnopolsky, V.M., M.S. Fox-Rabinovitz, and D.V. Chalikov, 2005: "New Approach to Calculation of Atmospheric Model Physics: Accurate and Fast Neural Network Emulation of Long Wave Radiation in a
Climate Model", Mon. Wea. Rev., vol. 133, No. 5, pp. 1370-1383.
PI Alberto Franceschetti
A. Franceschetti and M.C. Troparevsky, "Screening of point charges in Si quantum dots", Phys. Rev. B (in press).
R.F. Klie, J.P. Buban, M. Varela, A. Franceschetti, C. Jooss,Y. Zhu, N.D. Browning, S.T. Pantelides, and S.J. Pennycook, "Enhanced current transport at grain boundaries in high-Tc superconductors",
Nature 435, 475 (2005).
H.S. Baik, M. Kim, G.S. Park, S.A. Song, M. Varela, A. Franceschetti, S.T. Pantelides, and S.J. Pennycook, "Interface structure and non-stoichiometry in HfO2 dielectrics", Appl. Phys. Lett. 85, 672
PI Stuart Freedman
"Measurement of Neutrino Oscillation with KamLAND: Evidence for Spectral Distortion", KamLAND Collaboration, Phys. Rev. Lett. 94, 081801 (2005).
"Experimental Investigation of Geologically Produced Antineutrinos with KamLAND", KamLAND Collaboration, Nature 436, 499 (2005).
"Results from KamLAND", A. Suzuki for the KamLAND collaboration, Nucl. Phys. Proc. Suppl. 137, 21 (2004).
"KamLAND: Updated results", K. Inoue for the KamLAND collaboration, Nucl. Phys. Proc. Suppl. 145, 11 (2005).
"The KamLAND anti-neutrino oscillation experiment", J. Maricic and J.G. Learned for the KamLAND collaboration, Contemp. Phys. 46, 1 (2005).
"Measurement of reactor anti-nu/e oscillation with KamLAND", A. Kozlov for the KamLAND collaboration, Nucl. Phys. Proc. Suppl. 149, 131 (2005).
PI Arthur Freeman
Pressure effects on the electronic properties and superconductivity of the ?-pyrochlore oxides: AOs2O6 (A=Na, K, Rb, Cs) (R. Saniz and A. J. Freeman) Phys. Rev. B 72, 024522 (2005).
Tunable Conductivity and Conduction Mechanism in a UV light activated electronic conductor (M. I. Bertoni, T. O. Mason, J. E. Medvedeva, A. J. Freeman, K. R. Poeppelmeier, and B. Delley), Journal of
Applied Physics 97, 103713 (2005).
Combining high conductivity with complete optical transparency: A band-structure approach (J.E. Medvedeva, and A.J. Freeman), Europhysics Letters 69, 583 (2005).
Hopping versus bulk conductivity in transparent oxides: 12CaO.7Al2O3 (J.E. Medvedeva, and A.J. Freeman), Applied Physical Letters 85, 955 (2004).
Electronic structure and light-induced conductivity in a transparent refractory oxide (J.E. Medvedeva, A.J. Freeman, M.I. Bertoni, and T.O. Mason), Phys. Rev. Lett. 93, 016408 (2004).
PI Alex Friedman
R. H. Cohen, A. Friedman, A. W. Molvik, A. Azevedo, M. A., Furman, J.-L. Vay, P. Stoltz, "Simulating Electron Cloud Effects in Heavy-Ion Accelerators," Nuclear Instruments and Methods in Physics
Research A 544, 210 (2005).
R. H. Cohen, A. Friedman, M. Kireeff Covo, S. M. Lund, A. W. Molvik, F. M. Bieniosek, P. A. Seidl, J.-L. Vay, P. Stoltz, S. Veitzer, "Simulating Electron Clouds in Heavy-Ion Accelerators," Phys.
Plasmas 12, 056708 (2005).
A. Friedman, "Simulation of Intense Beams for Heavy Ion Fusion," Nuclear Instruments and Methods in Physics Research A 544, 160 (2005).
D. P. Grote, "Simulation of Integrated Beam Experiment Design," Nuclear Instruments and Methods in Physics Research A 544, 360 (2005).
S. M. Lund, D. P. Grote, E. P. Lee, R. C. Davidson, "Simulations of Beam Emittance Growth from the Collective Relaxation of Space-Charge Non-uniformities," Nuclear Instruments and Methods in Physics
Research A 544, 472 (2005).
W. M. Sharp, J. J. Barnard, D. P. Grote, C. M. Celata, S. S. Yu, D. V. Rose, D. R. Welch, "Simulation of Drift-Compression for Heavy-Ion-Fusion," Nuclear Instruments and Methods in Physics Research A
544, 398 (2005).
W. M. Sharp, D. A. Callahan, M. Tabak, S. S. Yu, P. F. Petersen, D. V. Rose, D. R. Welch, "Chamber-Transport Simulation Results for Heavy-Ion Fusion," Nucl. Fusion 44, S221-S227, (2004).
J.-L. Vay, P. Colella, P. McCorquodale, D. B. Serafini, B. Van Straalen, A. Friedman, D.P. Grote, J.-C., Adam, A. H. H'eron, "Application of Adaptive Mesh Refinement to Particle-In-Cell Simulations
of Plasmas and Beams", Phys. Plasmas 11, 2928-2934, (2004).
J.-L. Vay, P. Colella, A. Friedman, D. P. Grote, P. McCorquodale, D. B. Serafini, "Implementations of Mesh Refinement schemes for Particle-In-Cell Plasma Simulations", Comput. Phys. Commun. (in
press, 2005).
E. Sonnendrucker, F. Filbet, A. Friedman, E. Outdet, J.-L.Vay, "Vlasov simulations of beams with a moving grid," Comput. Phys. Commun. (in press, 2005).
PI Charlotte Froese-Fischer
Breit-Pauli energy levels, transition probabilities and lifetimes for 3d5 levels in Fe IV of astrophysical interest C. Froese Fischer and R. H. Rubin Mon. Not. Royal Astron. Soc. 355 461-474 (2004):
erratum ibid 355 1400 (2004).
Angular integrations using symbolic state expansions C. Froese Fischer and D. Ellis Lithuanian J. Physics 44 121-134 (2004)
Breit-Pauli oscillator strengths, lifetimes and Einstein A-coefficients in singly ionized sulphur Physica Scripta 72 172-184 (2005)
Breit-Pauli lifetimes and transition probabilities for Si I C. Froese Fischer Physical Review A 71 042506 (2005)
Relativistic calculations for highly charged ions C. Froese Fischer Nucl. Inst. Meth. Phys. Res. B: 235 100-104 (2005)
Relativistic energy levels, lifetimes, and transition probabilities for the Na-like to Ar-like sequences C. Froese Fischer, G. Tachiev, and A., Irimia Atom. Data Nucl. Data Tables (accepted)
PI Inez Fung
Fung, Inez Fung, I., S.C. Doney, K. Lindsay, and J. John (2005). Evolution of carbon sinks in a changing climate. Proc. Nat. Acad. Sci. (USA), 102, 11201-11206.
Bonfils, C., I. Fung, S.C. Doney and J. John (2004). "On the detection of summertime terrestrial photosynthetic variability from its atmospheric signature". Geophys. Res. Lett., 31 L09207,
Angert, A., S. Biraud, C. Bonfils, W. Buermann, and I. Fung (2004). "CO2 seasonality indicates origins of post-Pinatubo sink". Geophysical Res. Lett. 31, L11103, doi:10.1029/2004GL019760.
Lintner, B., A. Gilliland, I. Fung (2004). "Mechanisms of convection-induced modulation of passive tracer interhemispheric transport interannual variability". J. Geophys. Res., 109, doi:10.1029/
Bonfils C, A. Angert, C.C. Henning, S. Biraud, S.C. Doney and I. Fung. "Extending the record of photosynthetic activity in the eastern United States into the presatellite period using surface diurnal
temperature". Geophysical Research Letters 32 (8): Art. No. L08405 APR 26 2005
Angert, A., Sebastien Biraud , Celine Bonfils , Cara Henning , Wolfgang Buermann , Jorge Pinzon , Compton Tucker , Inez Fung (2005). "Drier summers cancel out the CO2 uptake enhancement induced by
warmer springs". Proc. Nat. Acad. Sci. (USA), 102, 10823-10827.
PI Giulia Galli-Gygi
Theoretical study of biotin adsorption on the clean and hydroxylated Si-SiC(001) surface, Y.Kanai, G.Cicero, A.Selloni, R.Car and G.Galli, J.Phys.Chem.B 109, 13656 (2005).
Growth of carbon nanotubes on iron nanoparticle : microscopic mechanism from a- initio molecular dynamics, J.-Y. Raty, F,Gygi and G.Galli , Phys.Rev.Lett. 95, 096103 2005 (in press). [Article
featured on the cover].
Water at a hydrophilic solid surface probed by first principles molecular dynamics: inhomogeneous, thin layers of dense fluid, G.Cicero, J.Grossman, A.Catellani and G.Galli, J.Amer.Chem.Soc.127, 6830
Theory of alkyl-terminated silicon quantum dots, F.Reboredo and G.Galli, J.Phys.ChemB. 109, 1072 (2005).
"Doping the undopable", G.Galli, Nature 436, 32 (2005).
"The electronic structure of water within Density Functional Theory", D.Prendergast, J.Grossman, and G.Galli, J.Chem.Phys. 123, 014501 (2005).
"First principles studies of nanodiamond opctical and electronic properties", J.-Y.Raty and G.Galli, Comp. Phys.Comm. 169, 14 (2005).
PI Alan Garfinkel
Fukumoto, G. H., S. T. Lamp, C. Motter, J. H. Bridge, A. Garfinkel and J. I. Goldhaber (2005). Metabolic inhibition alters subcellular calcium release patterns in rat ventricular myocytes:
implications for defective excitation-contraction coupling during cardiac ischemia and failure. Circ Res 96(5): 551-7.
Weiss, J. N., Z. Qu, P. S. Chen, S. F. Lin, H. S. Karagueuzian, H. Hayashi, A. Garfinkel and A. Karma (2005). The dynamics of cardiac fibrillation. Circulation 112(8): 1232-40.
Wu, T. J., S. F. Lin, A. Baher, Z. Qu, A. Garfinkel, J. N. Weiss, C. T. Ting and P. S. Chen (2004). Mother rotors and the mechanisms of D600-induced type 2 ventricular fibrillation. Circulation 110
(15): 2110-8.
Submitted to Circulation: Fagen Xie, Zhilin Qu, Carin Siegerman, Marta Vakulenko, Kalyanam Shivkumar, James N. Weiss and Alan Garfinkel: The Effects of Atrial Anatomy on Human Atrial Fibrillation: a
Simulation Study.
PI Bruce Garrett
B.S. Thomas, N.A. Marks, L.R. Corrales and R. Devanathan, "Threshold displacement energies in rutile TiO2: A molecular dynamics simulation study", Nucl. Instr. and Meth. B (in press).
L.R. Corrales and R. Devanathan, 'Characterization of Energy Conservation in Primary
S. S. Xantheas, E. Apra, J. Chem. Phys. 120, 823 (2004).
G. S. Fanourgakis, E. Apra and S. S. Xantheas, J. Chem. Phys. 121, 2655 (2004).
PI Steven Ghan
Ghan, S. J., and T. Shippert, 2005: Load balancing and scalability of a subgrid orography scheme in a global climate model. Int. J. High Performance Comput. Appl., in press.
Ghan, S. J., T. Shippert, and J. Fox, 2005: Physically-based global downscaling: Regional evaluation. J. Climate, accepted.
PI Ahmed Ghoniem
Y. M. Marzouk, A. F. Ghoniem, and D. Wee. Simulations of high Reynolds number transverse jets and analysis of the underlying vortical structures. 43rd AIAA Aerospace Sciences Meeting Conference and
Exhibit, Reno, Nevada, Jan 2005.
D. Wee, Y. M. Marzouk, and A. F. Ghoniem, Lagrangian simulation of a jet in crossflow at a finite Reynolds number. 43rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, Jan 2005.
R. Speth, Y. M. Marzouk, and A. F. Ghoniem, Impact of hydrogen addition on flame response to stretch and curvature. 43rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, Jan 2005.
R. Speth, Y. M. Marzouk, and A. F. Ghoniem, A quasi-one-dimensional unsteady laminar flame formulation with independent strain rate and curvature. 3rd MIT Conference on Computational Fluid and Solid
Mechanics, Cambridge, MA, Jun 2005.
Y. M. Marzouk and A. F. Ghoniem. K-means clustering for partition and dynamic load balance of parallel hierarchical N-body simulation. Journal of Computational Physics. 207:493-528 (2005)
Y. M. Marzouk and A. F. Ghoniem. Vorticity structure and evolution in a transverse jet. Submitted to Journal of Fluid Mechanics.
D. Wee and A. F. Ghoniem. Modified interpolation kernels for treating diffusion and remeshing in vortex methods. Journal of Computational Physics. (In print)
PI James Glimm
A Simple Package for Front Tracking, Jian Du, Brian Fix, James Glimm, Xiaolin Li, Yunhua Li, Lingling Wu, accepted by J. Comp. Phys., 2005, in press.
Shock Wave Interactions in Spherical and Perturbed Spherical Geometries, S. Dutta, E. George, J. Glimm, J. Grove, H. Jin, T. Lee, X. Li, D. H. Sharp, K. Ye, Y. Yu, Y. Zhang and M. Zhao, Nonlinear
Analysis, Elsevier, 2004, In press.
Jet Simulation in a Diesel Engine, James Glimm, M.-N. Kim, X.-L. Li, R. Samulyak and Z.-L. Xu, MIT Conference on Computational Fluid and Solid Mechanics, Elsevier Science, In press, 2004.
Errors in Numerical Solutions of Spherically Symmetric Shock Physics Problems J. Glimm, J. W. Grove, Y. Kang, T. Lee, X. Li, D. H. Sharp, Y. Yu, K. Ye and M. Zhao, Contemporary Mathematics, 371, pp.
163--179, 2005.
Self similarity of Rayleigh-Taylor mixing rates, E. George and J. Glimm, Phys. Fluids, 17, pp. 054101-1--154101-13, 2005.
Rayleigh-Taylor Mixing Rates for Compressible Flow, H. Jin, X. F. Liu, T. Lu, B. Cheng, J. Glimm and D. H. Sharp, Phys. Fluids, 17, pp. 1-10, 2005.
Statistical Riemann Problems and a Composition Law for Errors in Numerical Solutions of Shock Physics Problems, SISC, 26, pp. 666-697, 2004.
Spherical Richtmyer-Meshkov Instability for Axisymmetric Flow, S. Dutta, J. Glimm, J. W. Grove, D. H. Sharp and Y. Zhang, Mathematics and Computers in Simulations, 65, pp. 417--430, 2004.
A multiphase Flow Model for the Unstable Mixing of Layered Incompressible Materials, B. Cheng, J. Glimm, D. H. Sharp and Y. Yu, Phys. of Fluids, 17, 2005.
S. Dutta, J. Glimm, J. W. Grove, D. H. Sharp, and Y. Zhang, Error Comparison in Tracked and Untracked Spherical Simulations, Computers and Mathematics with Applications, 2004, 48, 1733--1747.
J. Glimm, S. Hou, Y. Lee, D. Sharp, and K. Ye, Sources of Uncertainty and Error in the Simulation of Flow in Porous Media, Comp., Applied Mathematics, 2004, 23, 109--120.
J. Glimm, H. Jin, and Y. Zhang, Front Tracking for Multiphase Fluid Mixing, Computational Methods in Multiphase Flow II, 2004, 13--22, A. A. Mammoli, C. A. Brebbia, WIT Press, Southampton, UK.
J. Glimm, X.-L. Li, and Z.-L. Xu, Front Tracking Algorithm Using Adaptively Refined Meshes, Proceedings of the 2003 Chicago Workshop on adaptive Mesh Refinement Methods, the Lecture Notes in
Computational Science and Engineering, ISSN: 1439-7358, 2004. T. Lu, R. Samulyak, and J. Glimm, Direct Numerical Simulation of Bubbly Flows and its Applications, Phys. Fluids, 2004.
Z. L. Xu, M. Kim, W. Oh, J. Glimm, R. Samulyak, X. L. Li, and C. Tzanos, Atomization of a High Speed Jet, Physics of Fluids, in press, 2005
Y. Zhang, J. Glimm, and S. Dutta, Tracked Flame Simulation for Type Ia Supernova, bookProceeding of Third MIT Conference, 2005, Elsevier, accepted.
PI Yousry Gohar
Yousry Gohar, Blanket Design And Optimization Demonstrations Of The First Wall/Blanket/Shield Design And Optimization System (BSDOS), Fusion Technology Volume 48, May 2005
PI Yadin Goldschmidt
``Flux melting in BSCCO: Incorporating both electromagnetic and Josephson couplings'', S. Tyagi and Y. Y. Goldschmidt, Phys. Rev. B 70, 024501 (2004).
``String solutions to the 2D Sine-Gordon equation: Application to the Josephson interaction in high-temperature superconductors'', Y. Y. Goldschmidt and S. Tyagi, Phys. Rev. B 71, 014503 (2005).
``Molecular dynamics of pancake vortices with realistic interactions: Observing the vortex lattice melting transition'', Y. Y. Goldschmidt, Phys. Rev. B 72, 064518 (2005).
PI Balasubraman Govindasamy
Iorio, J., P. Duffy, B. Govindasamy, S. Thompson, 2004: Effects of increased resolution on the simulation of daily precipitation statistics in the US. Climate Dynamics, 23, 243-258.
Govindasamy, B., S. Thompson, A. Mirin, M. Wickett, K. Caldeira, C. Delire, 2005: Increase of carbon-cycle feedback with climate sensitivity: Results from a coupled climate and carbon cycle model,
Tellus, 57(B), 153-163.
G. Bala, A. Mirin, M. Wickett, K. Caldeira, C. Delire, 2005: Multi-century changes to global climate and carbon cycle: Results from a coupled climate and carbon cycle model, J. Climate (in press)
Oliker, L., J. Carter, M. Wehner, A. Canning, S. Ethier, B. Govindasamy, A. Mirin, D. Parks, 2005: Leading computational methods on scalar and vector platforms, SC 2005 High Performance computing,
networking, and storage conference, Seatle, Washington, Nov., 2005.
Thompson, S.., B. Govindasamy and coauthors, 2004: Quantifying the effects of Co2-fertilized vegetation on future global climate and carbon dynamics, Geophys. Res. Lett., 31, L23211.
PI Stephen Gray
Controlled spatiotemporal excitation of metal nanoparticles with chirped optical pulses T.-W. Lee and S. K. Gray, Phys. Rev. B, 71, 035423 (1-9) (2005).
Near-field photochemical imaging of noble metal nanostructures C. Hubert, A. Rumyantsev, G. Lerondel, J. Grand, S. Kostcheev, L. Billot, A. Vial, R. Bachelot, P. Royer, S.-H. Chang, S. K. Gray, G. P.
Wiederrecht, and G. C. Schatz, Nano Letters 5, 615-619 (2005).
An OpenMP/MPI approach to the parallelization of iterative four-atom quantum mechanics D. M. Medvedev, E. M. Goldfield, and S. K. Gray, Comp. Phys. Comm. 166, 94-108 (2005).
Regenerated surface plasmon polaritons T.-W. Lee and S. K. Gray, Appl. Phys. Lett., 86, 141105 (3 pages) (2005).
Surface plasmon generation and light transmission by isolated nanoholes and arrays of nanoholes in thin metal films S.-H. Chang and S. K. Gray, Optics. Express, 13, 3151 -3165 (2005).
Fourier spectral simulations and Gegenbauer reconstructions for electromagnetic waves in the presence of a metal nanoparticle M. S. Min, T.-W. Lee, P. F. Fischer, and S. K. Gray, J. Comp. Phys., in
press (2005).
Methyl radical: ab initio global potential energy surface, vibrational levels, and partition function D. M. Medvedev, L. B. Harding, and S. K. Gray, Mol. Phys., in press (2005).
Surface plasmon waves in large-area subwavelength hole arrays E.-S. Kwak, J. Henzie, S.-H. Chang, S. K. Gray, G. C. Schatz, and T. W. Odom, Nano Letters, in press (2005).
PI Chris Greene
"Theoretical study of dissociative recombination of C_2v triatomic ions: application to H2D and D2H . V. Kokoouline and C.H. Greene accepted for publication in Phys. Rev. A
"Theoretical study of the H3 ion dissociative recombination process. Review." V. Kokoouline and C.H. Greene J. Phys.: Conf. Ser. 4: 74-82 (2005)
"Electron-molecule scattering calculations in a 3D finite element R-matrix approach" S. Tonzani and C. H. Greene J. Chem. Phys. 122, 014111 (2005)
"Low energy electron scattering from DNA and RNA bases: shape resonances and radiation damage" S. Tonzani and C. H. Greene J. Chem. Phys. submitted
PI Keith Gubbins
A. Striolo, K. E. Gubbins, T. D. Burchell, J. M. Simonson, D. R. Cole, M. S. Gruszkiewicz, A. A. Chialvo and P. T. Cummings, "Temperature Effect on Water Adsorption in Porous Carbons, Langmuir,
accepted (2005)
A. Striolo, C. McCabe, and P. T. Cummings, "Effective Interactions between Polyhedral Oligomeric Silsesquioxanes in Hexadecane from Molecular Simulation", Macromolecules, accepted (2005)
B. Coasne, F. R. Hung, R. J.�M. Pellenq, F. R. Siperstein, and K. E. Gubbins, "Adsorption of simple gases in MCM-41 materials: the role of surface roughness", Langmuir, accepted (2005)
F. R. Hung, B. Coasne, K. E. Gubbins, F. R. Siperstein, and M. Sliwinska-Bartkowiak, "A Monte Carlo study of capillary condensation of krypton within realistic models of templated mesoporous silica
materials", Stud. Surf. Sci. Catal., accepted (2005)
B. Coasne, J. Czwartos, K. E. Gubbins, F. R. Hung and M. Sliwinska-Bartkowiak, "Confinement effect on freezing of binary mixtures", Stud. Surf. Sci. Catal., accepted (2005)
J. Czwartos, B. Coasne, K. E. Gubbins, F. R. Hung and M. Sliwinska-Bartkowiak, "Freezing and melting of azeotrope mixtures confined in nanopores: experiment and molecular simulation", Mol. Phys. 103,
3103 (2005)
F. R. Hung, B. Coasne, E. E. Santiso, K. E. Gubbins, F. R. Siperstein and M. Sliwinska-Bartkowiak, "Molecular modeling of freezing of simple fluids confined within carbon nanotubes", J. Chem. Phys.
122, 144706 (2005)
M. Sliwinska-Bartkowiak, F. R. Hung, E. E. Santiso, B. Coasne, F. R. Siperstein and K. E. Gubbins, "Effect of confinement on freezing of CCl4 in cylindrical pores", Adsorption 11, 391 (2005)
A. Striolo, C. McCabe and P. T. Cummings, "Thermodynamic and transport properties of polyhedral oligomeric sislesquioxanes in poly(dimethylsiloxane)", J. Phys. Chem. B 109, 14300 (2005)
A. Striolo, A. A. Chialvo, K. E. Gubbins and P. T. Cummings, "Water in carbon nanotubes: Adsorption isotherms and thermodynamic properties from molecular simulation", J. Chem. Phys. 122, 234712
A. Striolo, P. K. Naicker, A. A. Chialvo, P. T. Cummings and K. E. Gubbins, "Simulated Water Adsorption Isotherms in Hydrophilic and Hydrophobic Cylindrical Nanopores", Adsorption 11, 397 (2005)
A. Striolo, K. E. Gubbins, A. A. Chialvo and P. T. Cummings, "Effect of Pore Connectivity on Water Adsorption Isotherms in Non-Activated Graphitic Nanopores", Adsorption 11, 337 (2005)
PI Maciej Gutowski
I.N. Yakovkin, M. Gutowski, The SrTiO3/Si(001) Epitaxial Interface: A Density Functional Theory Study, Phys. Rev. B, 70, 165319, (2004).
A. Gutowska, L. Li, Y. Shin, Ch. Wang, S. Li, J. Linehan, R. Scott Smith, B. Kay, B. Schmid, W. Shaw, M. Gutowski, and T. Autrey, Nano-Scaffold Mediates Hydrogen Release and Reactivity of Ammonia
Borane, Angew. Chem. Int. Ed., 44, 2, (2005).
D. A. Dixon, M. Gutowski, Thermodynamic Properties of Molecular Borane Amines, BH4-, and NH4+ for Chemical Hydrogen Storage Systems from Ab Initio Electronic Structure Theory, J. Phys. Chem. A., 109,
5129, (2005).
M. Gutowski, T. Autrey, J. Linehan, Favorable Energetics of Hydrogen Release and Uptake in the NHxBHx Compounds (x=4-1). A Density Functional Theory Study, J. Phys. Chem. B, accepted for publication.
M. Haranczyk, J. Rak, M. Gutowski, D. Radisic, S.T. Stokes, J.M. Nilles, K.H. Bowen, Effect of Hydrogen Bonding on Barrier-Free Proton Transfer in Anionic Complexes of Uracil with Weak Acids: (U_HCN)
- versus (U_H2S)-, Isr. J. Chem. (Joshua Jortner special issue), 44, 157, (2004).
M. Haranczyk, M Gutowski, Valance and Dipole-Bound Anions of the Most Stable Tautomers of Guanine, J. Am. Chem. Soc., 127, 699, (2005).
I. Dabkowska, M. Gutowski, J. Rak, Interaction with Glycine Increases the Stability of a Mutagenic Tautomer of Uracil. A Density Functional Theory Study, J. Am. Chem. Soc., 127, 2238, (2005).
M. Haranczyk, J. Rak, M. Gutowski, D. Radisic, S.T. Stokes, J.M. Nilles, K.H. Bowen, Effect of Hydrogen Bonding on Barrier-Free Proton Transfer in Anionic Complexes of Uracil with Weak Acids: (U_HCN)
- versus (U_H2S)-, Isr. J. Chem. (Joshua Jortner special issue), 44, 157, (2004).
M. Haranczyk, M Gutowski, Valance and Dipole-Bound Anions of the Most Stable Tautomers of Guanine, J. Am. Chem. Soc., 127, 699, (2005).
I. Dabkowska, M. Gutowski, J. Rak, Interaction with Glycine Increases the Stability of a Mutagenic Tautomer of Uracil. A Density Functional Theory Study, J. Am. Chem. Soc., 127, 2238, (2005).
D. Radisic, K.H. Bowen, Jr., I. Dabkowska, P. Storoniak, J. Rak, M. Gutowski, The AT Base Pair Anion vs. (9-methyl-A)(1-methyl-T) Base Pair Anion, J. Am. Chem. Soc., 127, 6443, (2005).
R. Bachorz, J. Rak, M. Gutowski, Stabilization of Very Rare Tautomers of Uracil by an Excess Electron, Phys. Chem. Chem. Phys., 7, 2116, (2005).
R.Bachorz, M. Haranczyk, I. Dabkowska, J. Rak, M. Gutowski, Anion of the Formic Acid Dimer as a Model for Intermolecular Proton Transfer Induced by a pi* Excess Electron, J. Chem. Phys., 122, 204304,
M. Haranczyk, J. Rak, M. Gutowski, D. Rasisic, S.T. Stokes, K.H. Bowen, Intermolecular Proton Transfer in Anionic Complexes of Uracil with Alcohols, J. Phys. Chem. B, 109, 13383, (2005).
B.C. Garrett, D.A. Dixon, D.M. Camaioni, D.M. Chipman, M.A. Johnson, C.D. Jonah, G.A. Kimmel, J.H. Miller, T. Rescigno, P.J. Rossky, S.S. Xantheas, S.D. Colson, A.H. Laufer, D. Ray, P.F. Barbara,
K.H. Bowen, S.E. Bradforth, I. Carmichael, L. Corrales, J.P. Cowin, M. Dupuis, J.A. Franz, M. Gutowski, K.D Jordon, B.D Kay, C.W Mccurdy, D. Meisel, S. Mukamel, A.R. Nilsson, T.M. Orlando, N.G.
Petrik, S.M. Pimblott, J.R. Rustad, G.K. Schenter, S.J. Singer, L Wang, D.M. Bartels, K.H. Becker, J.V. Coe, K.B. Eisenthal, J.A. La Verne, S.V. Lymar, T.E. Madey, A. Tokmakoff, C. Wittig, and T.S.
Zwier, The Role of Water on Electron-Initiated Processes and Radical Chemistry: Issues and Scientific Advances, Chem. Rev., 105, 355, (2005).
M. Haranczyk, M. Gutowski, Finding Adiabatically Bound Anions of Guanine through Combinatorial-Computational Approach, Angew. Chem. Int. Ed., accepted for publication.
M. Haranczyk, J. Rak, M. Gutowski, Stabilization of Very Rare Tautomers of 1-methylcytosine by an Excess Electron, J. Phys. Chem. A. (Jack Simons Festschrift), 107, issue 097, xxxx, (2005).
PI Parvez Guzdar
Nusinovich GS, Sinitsyn EV, Velikovich L, et al. Startup-scenarios in high-power gyrotrons IEEE TRANSACTIONS ON PLASMA SCIENCE 32 (3): 841-852 Part 1 JUN 2004
Miao YY, Antonsen TM, Nusinovich GS, et al. Prebunching of electrons in harmonic-multiplying cluster-cavity gyro-amplifiers IEEE TRANSACTIONS ON PLASMA SCIENCE 32 (3): 970-980 Part 1 JUN 2004
Gillingham DR, Antonsen TM Linear theory of shot noise in harmonic gyroklystrons and Gyro-TWT amplifiers IEEE TRANSACTIONS ON PLASMA SCIENCE 32 (3): 987-993 Part 1 JUN 2004
PI Stephan Haas
Phys. Rev. B 72, 024440 (2005)
Phys. Rev. Lett. 94, 197204 (2005)
Phys. Rev. Lett. 94, 147208 (2005)
Phys. Rev. Lett. 93, 167203 (2004)
J. Appl. Phys. 98, 044508 (2005)
Appl. Phys. Lett. 85, 121 (2004)
Phys. St. Sol. B 242, 363 (2005)
Europhysics Lett. 68, 720 (2004)
PI Edward Hamilton
Peronne E, Poulsen MD, Stapelfeldt H, et al. Nonadiabatic laser-induced alignment of iodobenzene molecules Phys. Rev. A 70 (6): Art. No. 063410 DEC 2004
Seideman T and Hamilton E Nonadiabatic alignment by intense pulses. Concepts, theory, and directions. Advances in Atomic, Molecular, and Optical Physics 52, 2005 (accepted, to be published)
PI Bruce Harmon
R. Biswas J. Ahn, T. Lee, J.-H. Lee, Y.S. Kim, C.H. Kim, W. Leung, C.H. Oh, K. Constant, K.-M. Ho, Photonic gaps of conformally coated structures. J. Optical Society of America B.(2005).
R. Biswas, Z.-Y.Li and K. M. Ho, Impedance of photonic crystals and photonic crystal waveguides, Applied Physics Letters.84, (8) 1254 (2004). Virtual Journal of Nanoscience and Technology 9, (March 1
Z. Y. Li and K. M. Ho, "Anomalous propagation loss in photonic crystal waveguides", Phys. Rev. Lett. 92, 063904 (2004).
"Finding the Reconstructions of Semiconductor Surfaces via a Genetic Algorithm", F. C. Chuang, C. V. Ciobanu, V. B. Shenoy, C. Z. Wang, and K. M. Ho, Surf. Sci. Lett., 573, L375 (2004).
"Structure of Si(114) determined by global optimization methods", F. C. Chuang, C. V. Ciobanu, C. Predescu, C. Z. Wang, and K. M. Ho, Surf. Sci. 578, 183 (2005).
"A first-principles studies of group IV dimmer chains on Si(100)", T. L. Chan, C. Z. Wang, Z. Y. Lu, K. M. Ho, Phys. Rev. B 72, 045405 (2005).
"Interface relaxation and electronic corrugation in the Pb/Si(111)-Pb-a-R3xR3", M. Hupalo, V. Yeh, T. L. Chan, C. Z. Wang, K. M. Ho, and M. C. Tringides, Phys. Rev. B 71, 193408 (2005).
"Model reconstructions for the Si(337) orientation", F. C. Chuang, C. V. Ciobanu, C. Z. Wang, and K. M. Ho, J. Appl. Phys. (accepted).
"An ab initio calculation of the structure and energies of {1012} twin boundaries in Zr, Ti and Mg", J. R. Morris, Y. Y. Ye and M. H. Yoo, Phil. Mag. 85, 233 (2005).
"Ab initio calculation of bulk and defect properties of ductile rare-earth intermetallic compounds", J. R. Morris, Y. Y. Ye, Y. B. Lee, B. N. Harmon, K A. Gschneidner, Jr., and Alan M. Russell, Acta
Mat. 52, 4849-4857 (2004).
"Physical trends in amorphous carbon: a tight-binding molecular dynamics study", C. Mathioudakis, G. Kopidakis, P. C. Kelires, C. Z. Wang, and K. M. Ho, Phys. Rev. B 70, 125202 (2004).
"Core energy and peierls stress of screw dislocation in Molybdenum: a periodic cell tight-binding study", Ju Li, C. Z. Wang, J.-P. Chang, W. Cai, V. Bulatov, K. M. Ho, and S. Yip Phys. Rev. B 70,
104113 (2004).
"Representation of Electronic Structures in Crystals in Terms of Highly Localized Quansiatomic Minimal Basis Orbitals", W.C. Lu, C.Z. Wang, Z. L. Chan, K. Ruedenberg, and K. M. Ho, Phys. Rev. B
(Rapid Communications) 70, 041101 (2004).
"Tight-binding molecular dynamics for carbon and applications to nanostructure formation", C. Z. Wang and K. M. Ho, J. Computational and Theoretical Nanoscience 1, 1 (2004).
PI Charles Harris
Kling, M. F.; Cahoon, J. F.; Glascoe, E. A.; Shanoski, J. E.; Harris, C. B. The Role of Odd-electron Intermediates and In-cage Electron Transfer in Ultrafast Photochemical Disproportionation
Reactions in Lewis Bases. J. Am. Chem. Soc. 2004, 126, 11414-11415.
Shanoski, J.E.; Payne, C.K.; Kling, M.F.; Glascoe, E.A.; Harris, C.B. Ultrafast Infrared Mechanistic Studies of the Interaction of 1-Hexyne with Group 6 Hexacarbonyl Complexes. Organometallics 2005,
24, 1852-1859.
Snee, P.T.; Shanoski, J.; Harris, C.B. Mechanism of Ligand Exchange Studied using Transition Path Sampling. J. Am. Chem. Soc. 2005, 127, 1286-1290.
Cahoon, J.F.; Kling, M.F.; Schmatz, S.; Harris, C.B. 19-Electron Intermediates and Cage-Effects in the Photochemical Disproportionation of [CpW(CO)3]2 with Lewis Bases. J. Am. Chem. Soc. 2005, 127,
Garrett-Roe, S.; Shipman, S.T.; Szymanski, P.; Strader, M.L.; Yang, A.; Harris, C.B. "Ultrafast Electron Dynamics at Dielectric/Metal Interfaces: Intraband Relaxation of Image State Electrons as
Friction." J. Phys. Chem. B (cover), 2005, in press.
PI Robert Harrison
Ryan Olson, Sergey Varganov, Mark S. Gordon and Horia Metiu. (2005): The binding of the noble metal cations Au+ and Ag+ to propene. Chemical Physics Letters, Volume 412, 416-419.
Olson R. M., Varganov S., Gordon M., Metiu H., Chretien S., Piecuch P., Kowalski K., Kucharski S. A., Musial M. (2005): Where does the planar-to-nonplanar turnover occur in small gold clusters?
Journal of the American Chemical Society 127, 1049-1052.
Varganov S. A., Olson R. M., Gordon M. S., Metiu H. (2004): A study of the reaction of molecular hydrogen with small gold clusters. Journal of Chemical Physics 120, 5169-5175.
PI Martin Head-Gordon
Auxiliary basis expansions for large-scale electronic structure calculations, Y. Jung, A. Sodt, P.M.W. Gill and M. Head-Gordon, Proc. Nat. Acad. USA 102, 6692-6697 (2005).
Search for stratospheric bromine reservoir species: Theoretical study of the stability of mono-, tri-, and pentacoordinated bromine compounds, T. J. Lee, C. N. Mejia, G. J. O. Beran, and M.
Head-Gordon, J. Phys. Chem. A 109, 8133 (2005).
A local correlation model that yields intrinsically smooth potential energy surfaces, J.E. Subotnik and M. Head-Gordon, J. Chem. Phys. 123, 064108 (2005).
Scaled opposite spin second order Moller-Plesset theory with improved physical description of long- range dispersion interactions, R.C. Lochan, Y. Jung, and M. Head-Gordon, J. Phys. Chem. A 109, 7598
-7605 (2005).
Intermolecular pi-to-pi bonding between stacked aromatic dyads. Experimental and theoretical binding energies and near-IR optical transitions for phenalenyl radical/ radical versus radical/cation
dimerizations, D. Small, V. Zaitsev, Y. Jung, S. V. Rosokha, M. Head-Gordon, and J. K. Kochi, J. Am. Chem. Soc. 126, 13850 (2004).
Pan, A.C, J.P. Garrahan and D. Chandler. " Heterogeneity and growing lengthscales in the dynamics of kinetically constrained lattice gases in two dimensions," cond-mat /0410525; Phys. Rev. E., in
press (2005).
Berthier, L. D. Chandler and J.P.Garrahan. "Length scale for the onset of Fickian diffusion in super- cooled liquids," Euro. Phys. Lett. 69, 320-326 (2005).
Merolle, M., J.P. Garrahan and D. Chandler. " Space-time thermodynamics of the glass transition," Proc. Nat. Acad. Sci. USA 102, 10837-10840, (2005).
Jung, Y.J., J.P. Garrahan and D. Chandler, " Dynamical exchanges in facilitated models of supercooled liquids, " cond-mat /0504535; J.Chem. Phys., in press (2005).
Pan, A.C., " Rotational correlation and dynamic heterogeneity in a kinetically constrained lattice gas," cond-mat/0506778; J. Chem. Phys., in press (2005).
Pan, A. and D. Chandler. "Dynamics of Nucleation in the Ising Model," J. Phys. Chem. B , 108, 19681-19686 (2004).
Pan, A.C, J.P. Garrahan and D. Chandler. " Decoupling of self-diffusion and structural relaxation during a fragile-to-strong cross-over in a kinetically constrained lattice gas," cond-mat/0501739;
ChemPhysChem, in press (2005).
"An orbital-based definition of radical and multiradical character", A. D. Dutoi, Y. Jung, and M. Head-Gordon, J. Phys. Chem. A 108, 10270 (2004).
"Ultrafast photoinitiated long-range electron transfer in cyclophane-bridged zincporphyrin-quinone complexes via conical intersections", A. Dreuw, G. A. Worth, L. S. Cederbaum, and M. Head-Gordon, J.
Phys. Chem. B 108, 19049 (2004).
"An orbital-based definition of radical and multiradical character", A. D. Dutoi, Y. Jung, and M. Head-Gordon, J. Phys. Chem. A 108, 10270 (2004).
"Ultrafast photoinitiated long-range electron transfer in cyclophane-bridged zincporphyrin-quinone complexes via conical intersections", A. Dreuw, G. A. Worth, L. S. Cederbaum, and M. Head-Gordon, J.
Phys. Chem. B 108, 19049 (2004).
PI Teresa Head-Gordon
D. Russo, R. K. Murakra, J. R.D. Copley, T. Head-Gordon (2005). Hydration dynamics near a model protein backbone. J.Phys.Chem. B 109(26); 12966-12975
N. Marianayagam, N. Fawzi & T. Head-Gordon (2005). Protein folding by distributed computing and the denatured state ensemble, Protein Science 14, 993-1003.
N. Fawzi, V. Chubukov, L.A. Clark, S. Brown & T. Head-Gordon (2005). Influence of denatured and intermediate states of folding on protein aggregation. Protein Science 14, 993-1003.
D. Russo, R. K. Murarka, G. Hura, E. R. Verschell, J. R.D. Copley, & T. Head-Gordon (2004). Evidence for anomalous hydration dynamics as a function of temperature near a model hydrophobic peptide
J.Phys.Chem. B (Stillinger Feitschrift) 108, 19885-19893.
E. Eskow, B. Bader, R. Byrd, S. Crivelli, T. Head-Gordon, V. Lamberti and R. Schnabel (2004). An optimization approach to the problem of protein structure prediction. Accepted to Math Programming
Series A (published online Feb, 2004).
D. Russo, G. Hura, & T. Head-Gordon (2004). Hydration dynamics near a model protein surface. Biophys. J. 86, 1852-1862
H. W. Horn, W. C. Swope, J. W. Pitera, J. D. Madura, T. J. Dick, Greg Hura, T. Head-Gordon (2004). Development of an improved four-site water model for biomolecular simulations: TIP4P-Ew. J. Chem.
Phys.120, 9665-9678.
S. Brown & T. Head-Gordon (2004). Intermediates in the folding of proteins L and G. Protein Sci. 13, 958-970.
S. Crivelli & T. Head-Gordon (2004). A new load balancing strategy for the solution of dynamical large tree search problems using a hierarchical approach. IBM R&D Journal 48, 153-160.
PI Eric Held
``Free-boundary simulations of DIII-D plasmas with the NIMROD code," S. E. Kruger, D. D. Schnack, C. R. Sovinec, and E. D. Held, to appear in Comp. Phys. Comm., 164 (34) 2004.
``Stationary Equilibria of Two Fluid Plasmas Having Significant, Internal, Static Electric Fields" W. F. Edwards and E. D. Held, Phys. Rev. Lett., 93, 255001 2004.
PI Brian Hingerty
Substrate discrimination by formamidopyrimidine-DNA glycosylase- A Mutational analysis. Zaika, E. I., Perlow, R. A., Matz, E., Broyde, S., Gilboa, R., Grollman, A. P. and Zharkov, D. O. J. Biol.
Chem. 279, 4849-61 (2004).
Conformational searches elucidate effects of stereochemistry on structures of deoxyadenosine covalently bound to tumorigenic metabolites of benzo[c]phenanthrene. Wu, M., Yan, S., Tan, J., Patel, D.
J., Geacintov, N. E. and Broyde, S. (2004) Frontiers in Bioscience, 9, 2807-2818 (2004).
Structural and stereosiomer effects of model estrogen quinone-derived DNA adducts: N6(2-hydroxyestron-6(alpha,beta)-yl)-2'- deoxyadenosine and N2-(2-hydroxyestron-6(alpha,beta)-yl-2'-deoxyguanosine
Wang, L., Hingerty, B. E., Shapiro R. and Broyde, S., Chemical Research in Toxicology 3, 311-324 (2004).
Altering DNA polymerase incorporation fidelity by distorting the dNTP binding pocket with a bulky carcinogen-damaged templated Yan, s., Wu, M., Geacintov, N. E. and Broyde, S. Biochemistry 43,
7750-7765 (2004).
Perlow-Poehnolt, Rebecca A., Likhterov, Ilya, Scicchitano, David. A., Geacintov, Nicholas E. and Broyde, Suse The spacious active site of a Y-Family DNA polymerase facilitates promiscuous nucleotide
incorporation opposite a bulky carcinogen-DNA adduct: Elucidating the structure-function relationship through experimental and computational approaches, J. Biol. Chem., 279, 36951-61 (2004).
Accommodation of a 1S benzo[c]phenanthrenyl-N6-dA Adduct in a Y-family Dpo4 DNA polymerase active site: structural insights through molecular dynamics simulations. Wang, L., Wu, M., Yan, S. Frank,
Patel, D. J., Geacintov< N. E. and Broyde, S. Chemical Research in Toxicology, 18, 441-56 (2005).
Methylation of cytosine at C5 in a CpG sequence context causes a conformational switch of a benzo[a]pyrene diol epoxide-N2-guanine adduct in DNA from a mionor groove alignment to intercalation with
base displacement. Zhang, N., Huang, X., Kolbanovskiy, A., Hingerty, B. E., Amin, S., Broyde, S., Geacintov, N. E., Patel, D. J. J. Mol. Biol., 346, 951-65 (2005).
Spiroiminohydantoin lesions derived from guanine oxidation: structures, energetics and functional implications. Jia, L., Shafirovich, V., Shapiro, R., Geacintov, N. E. and Broyde, S., Biochemistry44,
6043-51 (2005).
Structural aspects of polycyclic aromatic carcinogen-damaged DNA and its recognition by NER proteins. Geacintov, N. E., Naegli, H., Patel, D. J. and Broyde, S. in DNA Damage Recognition, Chapter 13.
Stuructural aspects of polycyclic aromatic carcinogen-damaged DNA and its recognition by NER proteins, edited by W. Siede, Y. W. Kow, and P. W. Doetsch Marcel Dekker Inc. In Press
Molecular dynamics of a food carcinogen-dna adduct in a dna polymerase: elucidating mutagenic nucleotide incorporation and extension Zhang, L., Shapiro, R. and Broyde, S., Chemical Research in
Toxicology In Press.
Structural Characterization of Covalently Modified DNA by Using a Combined NMR/Molecular Mechanics Approach. Cosman, M. and Hingerty, B.E. (2005) in Nanotechnology in Biology and Medicine (Tuan Vo
Dinh, editor) CRC Press, in press.
Perlow, R. A., Zharkov, D. O., Grollman, A. and Broyde, S. Substrate discrimination by formamidopyrimidine-DNA glycosylast: molecular dynamics simulations show distinguishing interactions within the
active site, Biochemistry, In Press.
Structural and thermodynamic features of spiroiminohydantoin damaged DNA duplexes. Jia, L., Shafirovich, V., Shapiro, R., Geacintov, N. E. and Broyde, S., Biochemistry, In Press
PI Hong Im
Wang, Y. and Trouve, A. (2004), "Artificial acoustic stiffness reduction in fully compressible, direct numerical simulation of combustion," Combust. Theory Modelling, 8:633-660.
Wang, Y. and Rutland, C. J. (2004), "Effects of temperature and equivalence ratio on the ignition of n-heptane fuel droplets in turbulent flow," Proc. Combust. Inst., 30:893-900.
Yoo, C. S. and Im, H. G. (2004), "Transient dynamics of edge flames in a laminar nonpremixed hydrogen-air counterflow," Proc. Combust. Inst., 30:349-356.
Sankaran, R., Im, H. G., Hawkes, E. R. and Chen, J. H. (2004), "The effects of nonuniform temperature distribution on the ignition of a lean homogeneous hydrogen-air mixture," Proc. Combust. Inst.,
Yoo, C. S., Wang, Y., Trouve A. and Im, H. G. (2005), "Characteristic boundary conditions for direct simulations of turbulent counterflow flames", Combust. Theory Modelling, in press.
Wang, Y. and Trouve A. (2005), "Direct numerical simulation of non-premixed flame-wall interactions", Combustion and Flame, in press.
PI Bing Jap
P. Walian, T.A. Cross. and B.K. Jap (2004) "Structural genomics of membrane proteins" Genome Biol. 5, 215.
Y.D. Kwon, I. Nagy, P.D. Adams, W. Baumeister and B.K. Jap (2004) "Crystal structures of the Rhodococcus proteasomes with and without its pro-peptide: Implications for the role of the pro-peptide in
proteasome assembly" J. Mol. Biol., 335, 233-245.
S. Zhou, H. Zhou, P.J. Walian and B.K. Jap (2005) "CD147 is a regulatory subunit of the gamma-secretase complex in Alzheimer's disease amyloid beta-peptide production" Proc. Natl. Acad. Sci. USA,
102, 7499-7504.
PI Stephen Jardin
P. Garabedian, L. P. Ku, et al., "Reactors with stellarator stability and tokamak transport," Fusion Science and Technology, 47(3) 400, 2005.
J. Lyon, L. P. Ku, et al., "Optimization of stellarator reactor parameters," Fusion Science and Technology, 47(3) 414, 2005.
L. P. Ku and the Aries Team, "Reactor configuration development for ARIES-CS," 21th Symposium on Fusion Engineering, Knoxville, Tennessee, September 26-29, 2005.
L. P. Ku and the Aries Team, "Modular coil design for the ultra-low aspect ratio quasi-axially symmetric stellarator MHH2," 21th Symposium on Fusion Engineering, Knoxville, Tennessee, September
26-29, 2005.
J. Lyon, L. P. Ku, et al., "Optimization of the ARIES-CS Compact Stellarator Reactor Parameters," 21th Symposium on Fusion Engineering, Knoxville, Tennessee, September 26-29, 2005.
L. P. Ku and P. R. Garabedian, "New classes of quasi-axisymmetric configurations," Proc. of the 15th International Stelarator Workshop, Madrid, Spain, October 3-7, 2005.
L. P. Ku and P. R. Garabedian, "New classes of qusi-axially symmetric stellarator configurations," to be submitted to Fusion Science and Technology. 8. T. K. Mau and the Aries Team, "Divertor Heat
Load Studies for Compact Stellarator Reactors," 21th Symposium on Fusion Engineering, Knoxville, Tennessee, September 26-29, 2005.
Jardin, Stephen Strauss, HR; Pletzer, A; Park, W; Jardin, S; Breslau, J; Sugiyama, L. 2004. MHD simulations with resistive wall and magnetic separatrix. COMPUTER PHYSICS COMMUNICATIONS 164 (1-3):
Strauss, HR; Sugiyama, LE; Fu, GY; Park, W; Breslau, J. 2004. Simulation of two fluid and energetic particle effects in stellarators. NUCLEAR FUSION 44 (9): 1008-1014.
Chen, J; Breslau, J; Fu, G; Jardin, S; Park, W. 2004. Symmetric solution in M3D. COMPUTER PHYSICS COMMUNICATIONS 164 (1-3): 468-471.
Samtaney, RS; Jardin, SC; Colella, P; Martin, DF. 2004. 3D Adaptive Mesh Refinement simulations of pellet injection in tokamaks. COMPUTER PHYSICS COMMUNICATIONS 164 (1-3): 220-228.
Jardin, SC. 2004. A triangular finite element with first-derivative continuity applied to fusion MHD applications. JOURNAL OF COMPUTATIONAL PHYSICS 200 (1): 133-152.
Jardin, S.C; Breslau, J.A. , 2005, Implicit solution of the four-field extended-magnetohydrodynamic equations using high-order high-continuity finite elements. PHYSICS OF PLASMAS 12, 10 pages
J. Chen, S. C. Jardin, and H.R. Strauss, Solving Anisotropic Transport Equations on Misaligned Grids, Springer-Verlag, Lecture Notes in Computer Science, 3516, pp. 1076-1079, 2005
V. Wheatley, D. I. Pullin and R. Samtaney, "RegRegular shock refraction at an oblique planar density interface in magnetohydrodynamics", J. Fluid Mech., vol. 522, 2005.
R. Samtaney, S. C. Jardin, P. Colella and D. F. Martin, "3D Adaptive mesh refinement simulations of pellet injection in tokamaks", Computer Physics Comm., Vol 164, 2004.
D. Reynolds, R. Samtaney, C. Woodward, "A fully implicit numerical method for single fluid resistive magnetohydrodynamics", J. Comp. Physics, to appear.
PI Julius Jellinek
Structural And Electronic Properties Of Small Beryllium Clusters: A Theoretical Study S. Srinivas and J. Jellinek J. Chem. Phys. 121, 7243-7252 (2004)
Structure And Magnetism Of VnBzn 1 Sandwich Clusters J. Wang, P. H. Acioli, and J. Jellinek J. Am. Chem. Soc. 127, 2812-2813 (2005)
Reaction Dynamics Of Nin (n=19 AND 20) With D2: Dependence On Cluster Size, Temperature, And Initial Rovibrational State Of The Molecule M. Boyukata, Z. B. Guvenc, S. Ozcelik, P. Durmus, and J.
Jellinek Int. J. Mod. Phys. C 16, 295-308 (2005)
Stuffed Fullerene Structures For Medium-Sized Silicon Clusters J. Zhao, J. Wang, J. Jellinek, S. Yoo, and X. C. Zeng Eur. Phys. J D 34, 35-37 (2005)
The Size Dependence Of Static Polarizabilities And Adsorption Spectra Of Ag Clusters J. C. Idrobo, S. Ogut, and J. Jellinek Phys Rev B (in press)
Computational Electron Spectroscopy - Application To Magnesium Clusters J. Jellinek and P. H. Acioli Lecture Series in Computer and Computational Sciences (in press)
PI Chueng-Ryong Ji
Light-Front Zero-Mode Contribution to the Good Current in Weak Transition,H.-M. Choi and C.-R. Ji, Phys. Rev. D72, 013004 (2005)
Manifestations of the Vector Anomaly in Covariant and Light-Front Calculations of the Anomalous Magnetic Moment of W - Bosons, B.L.G. Bakker and C.-R. Ji, Phys. Rev. D71, 053005 (2005)
Time to Space Conversion in Quantum Field Theory of Flavor Mixing, C.-R. Ji and Y. Mishchenko, Annals of Physics 315, 488 (2005)
Vector Anomaly and Practicality of Light-Front Dynamics, C.-R. Ji and B.L.G. Bakker, Few Body Systems 36, 137 (2005)
Scalar Mesons in the Light-Front Quark Model, M. DeWitt, C.-R. Ji, and H.-M. Choi, Few Body Systems 36, 83 (2005)
Light-Front Quark Model Analysis of the Rho-Meson Electromagnetic Form Factors, H.-M. Choi and C.-R.Ji, Few Body Systems 36, 61 (2005)
Nucleon Compton Scattering in the Perturbative Limit, R.Thomson and C.-R.Ji, Few Body Systems 36, 237 (2005)
Exploring Properties of Dark and Visible Mass Distribution on Different Scales in the Universe, Y. Mishchenko and C.-R. Ji, Int. J. Mod. Phys. A20, 3124 (2005)
Elecreomagnetic Structure of the Rho Meson in the Light-Front Quark Model,H.-M. Choi and C.-R. Ji, Phys. Rev. D70, 053015 (2004)
Investigating the Parity of the Exotic $\Theta^ $ Baryon from the Kaon Photoproduction, B.-G. Yu, T.-K. Choi, and C.-R. Ji, Phys. Rev. C70, 045205 (2004)
Distribution of Masses in Galaxy Cluster CL0024 and Particle Mass of Dark Matter, Y.Mishchenko and C.-R.Ji, Progress in Dark Matter Research, pp. 217-239, Nova Science Publishers, Inc. , 2005.
Genral Formulation of Flavor Mixing in Quantum Field Theory, Y. Mishchenko and C.-R.Ji, Focus on Quantum Field Theory, pp. 115-149, Nova Science Publishers, Inc. 2005.
Duality and Canonical Transformation in the Scalar Field Theory, C.-R.Ji, Y.Mishchenko and A.Shalaby, Recent Research Development in Physics Vol.5, pp. 1489-1510 (2004).
A Novel Variational Approach for Quantum Field Theory: Example of Study of the Ground State and Phase Transition in Nonlinear Sigma Model, Y. Mishchenko and C.-R.Ji, submitted to Int. J. Mod.
Proc.Suppl.A; quant-ph/0410197.
PI Martin Karplus
Electrostatic Energies and Forces Computed Without Explicit Interparticle Interactions: A Linear Time Complexity Formulation, J. Comput. Chem. 26, 755-787 (2005), by R. J. Petrella and M. Karplus.
Structure of a Repair Enzyme Interrogating Undamaged DNA Elucidates Recognition of Damaged DNA, Nature 434, 612-618 (2005), by A. Banerjee, W. Yang, M. Karplus and G. Verdine.
Simulation of Conformational Transitions by the Restricted Perturbation-Targeted Molecular Dynamics (RP-TMD) Method, J. Chem. Phys. 122, 114903.1-114903.6 (2005), by A. van der Vaart and M. Karplus.
Normal Mode Calculations of Icosahedral Viruses with Full Dihedral Flexibility by Use of Molecular Symmetry, J. Mol. Biol. 350, 528-542 (2005), by H. W. T. van Vlijmen and M. Karplus.
Role of Conformational Heterogeneity in Domain Swapping and Adapter Function of the Cks Proteins, J. Biol. Chem. 280, 30448-30459 (2005). by M. A. Seeliger, M. Spichty, S. E. Kelly, M. Bycroft,
S.M.F. Freund, M. Karplus, and L. S. Itzhaki.
Large Amplitude Conformational Change in Proteins Explored with a Plastic Network Model: Adenylate Kinase J. Mol. Biol. (in press, 2005), by P. Maragakis and M. Karplus.
The Allosteric Mechanism of Yeast Chorismate Mutase: A Dynamic Analysis J. Mol. Biol. (in press, 2005), by Y. Kong, J. Ma, M. Karplus, and W. N. Lipscomb.
A Structure-Based Model for Synthesis and Hydrolysis of ATP by F1ATPase, Cell (in press, 2005), by Y. Q. Gao, W. Yang, and M. Karplus.
Protein Structural Transitions and their Functional Role, Phil. Trans. R. Soc. A 363, 331-355 (2005), by M. Karplus, Y. Q. Gao, J. Ma, A. van der Vaart, and W. Yang.
Molecular Dynamics and Protein Function, Proc. Natl. Acad. Sci. USA 102, 6679-6685 (2005), by M. Karplus and J. Kuriyan.
PI Thomas Katsouleas
T. Katsouleas, Progress on plasma accelerators: from the energy frontier to tabletops, Plasma Phys. Control. Fusion 46 (2004) B575-B582.
M.J. Hogan, C.D. Barnes, C.E. Clayton, F.J. Decker, S. Deng, P. Emma, C. Huang, R.H. Iverson, D.K. Johnson, C. Joshi, T. Katsouleas, P. Krejcik, W. Lu, K.A. Marsh, W.B. Mori, P. Muggli, C.L. Oonnell,
E. Oz, R.H. Siemann, D. Walz, Multi-GeV Energy Gain in a Plasma-Wakefield Accelerator, Phys. Rev. Lett. 95, 054802 (2005).
PI Ricky Kendall
J. Bentz and R. A. Kendall, "Parallelization of general matrix multiply routines using OpenMP," in the Proceedings of the Workshop on OpenMP Applications and Tools, WOMPAT 2004, Houston, TX, May
17-18, 2004.
M.-S. Wu, R. A. Kendall, and S. Aluru, "Exploring Collective Communications on a Cluster of SMPs," in the Proceedings of 7th International Conference on High Performance Computing and Grid in Asia
Pacific Region, HPCAsia2004, Omiya Sonic City, Tokyo Area, Japan, July 20-22, pp. 114-117, 2004.
J. Bentz and R. A. Kendall, "Parallelization of general matrix multiply routines using OpenMP," Lecture Notes in Computer Science. 3349, 1-11, 2005.
M.-S. Wu, R. A. Kendall, K. Wright, "Optimizing Collective Communications on SMP Clusters," in the Proceedings of the 2005 International Conference on Parallel Processing (ICPP-05), Georg Sverdrups
House, University of Oslo, Norway, June 14-17, 2005.
M.-S. Wu, R. A. Kendall, Z. Zhang, K. Wright, "Performance Modeling and Tuning Strategies of Mixed Mode Collective Communications, accepted in Supercomputing 2005.
PI Davd Keyes
Parallel algorithms for PDE-constrained optimization, V. Akcelik, G. Biros, O. Ghattas, J. Hill, D. Keyes, and B. van Bloemen Waanders, Frontiers of Parallel Computing, M. Heroux, P. Raghaven, H.
Simon, eds, SIAM, accepted (2005).
Dynamic data-driven inversion for terascale simulations: Real-time identification of airborne contaminants, V. Akcelik, G. Biros, A. Dragenescu, J. Hill, O. Ghattas, and B. van Bloemen Waanders,
Proceedings of SC2005, accepted (2005).
Adaptive smoothed aggregation (aSA) multigrid, M. Brezina, R. Falgout, S. MacLachlan, T. Manteuffel, S. McCormick, and J. Ruge, SIAM Review 47 (2005), pp. 317-346.
An element agglomeration nonlinear additive Schwarz preconditioned Newton method for unstructured finite element problems, X.-C. Cai, L. Marcinkowski, and P. Vassilevski, Applications of Mathematics,
50 (2005), pp. 247-275.
Self-Adapting Linear Algebra Algorithms and Software, J. Demmel, J. Dongarra, V. Eijkhout, E. Fuentes, A. Petitet, R. Vuduc, R. C. Whaley, K. Yelick. Proceedings of the IEEE, Special Issue on Program
Generation, Optimization, and Adaptation, 93 (2005).
Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply B. C. Lee, R. Vuduc, J. Demmel, K. Yelick, International Conference on Parallel Processing, Montreal
(2004) [Winner, Best Paper Award].
Parallel performance of some two-level ASPIN algorithms, L. Marcinkowski and X.-C. Cai, Lecture Notes in Computational Science and Engineering, Springer, 40 (2004), pp. 641-648.
Domain Decomposed Fully Coupled Implicit Methods for a Magnetohydrodynamics Problem", S. Ovtchinnikov, F. Dobrian, X.-C. Cai and D. Keyes, Proceedings of the 16th International Conference on Domain
Decomposition Methods, Springer, accepted (2005).
Domain Decomposition Methods, Algorithms and Theory, A. Toselli and O. Widlund, Computational Mathematics, Vol. 34, Springer (2004).
PI Kwiseon Kim
K. Kim, P. Graf, W. Jones, "A genetic algorithm based inverse band structure method for semiconductor alloys," Journal of Computational Physics, 208:735-760 (2005).
PI Sung-Hou Kim
Sims GE, Choi IG, Kim SH Protein conformational space in higher order phi-psi maps Proceedings Of The National Academy Of Sciences Of The United States Of America 102 (3): 618-621 JAN 18 2005
Hou JT, Jun SR, Zhang C, et al. Global mapping of the protein structure space and application in structure-based inference of protein function Proceedings Of The National Academy Of Sciences Of The
United States Of America 102 (10): 3651-3656 MAR 8 2005
PI Richard Klein
"How Protostellar Outflows Help Massive Stars Form" Krumholz, M. R., McKee, C. F., & Klein, R. I., 2005a, ApJ, 618, L33.
"Bondi Accretion in the Presence of Vorticity" Krumholz, M. R., McKee, C. F., & Klein, R. I., 2005b, ApJ, 618, 757.
"A General Theory of Turbulence-Regulated Star Formation, from Spirals to Ultraluminous Infrared Galaxies" Krumholz, M. R. & McKee, C. F. 2005, ApJ, 630, 250.
Krumholz, M.R., Klein, R.I. & McKee, C.F. 2005, in "IAU Symposium 227: Massive Star Birth: A Crossroads of Astrophysics", eds. R. Cesaroni, E. Churchwell, M. Felli & C.M. Walmsley, in press.
PI John Klepeis
N. Drummond, A.J. Williamson, R.J. Needs and Giulia Galli, Electron emission from diamondoids: A diffusion quantum Monte Carlo study, Physical Review Letters 95, 096801 (2005).
F. Reboredo and A.J. Williamson, Optimized nonorthogonal localized orbitals for linear scaling quantum Monte Carlo calculations, Physical Review B 71, 121105(R) (2005).
A. Puzder, A.J. Williamson, N. Zaitseva, G. Galli, L. Manna and A.P. Alivisatos The Effect of Organic Ligand Binding on the Growth CdSe Nanoparticles Probed by Ab-Initio Calculations, Nano Letters 4,
2361 (2004).
A. J. Williamson, F. Reboredo and G. Galli, Chemisorption at the Nanoscale: An alternative mechanism for hydrogen storage, Applied Physics Letters, 85, 2917 (2004).
PI Kwok Ko
A. Kabel, Applications of Parallel Computational Methods to Charged-Particle Beam Dynamics, to be published in Nucl. Instr. Methods A
Chao Yang, Weiguo Gao, Zhaojun Bai, Xiaoye Li, Lie-Quan Lee, Parry Husbands, and Esmond G. Ng, An Algebraic Sub-structuring for Large-scale Eigenvalue Calculation, SIAM Journal On Scientific
Computing, 2005, accepted
PI Boris Kogan
Huffaker R, Lamp ST, Weiss JN, Kogan B. Intracellular calcium cycling, early afterdepolarizations, and reentry in simulated long QT syndrome. Heart Rhythm. 2004 Oct; 1(4):449-50.
PI Joel Koplik
Self-affine fronts in self-affine fractures, Phys. Rev. Lett. 92, 014501 (2004), G. Drazer, H. Auradou, J. Koplik and J.-P. Hulin.
Permeability anisotropy induced by the shear displacement of the walls of a single fracture, Water Resources Res. in press (2005), H. Auradou, G. Drazer, J.-P. Hulin and J. Koplik.
Lattice-Boltzmann method for non-Newtonian fluid flows, Phys. Rev. E in press (2005), S. Gabbanelli, G. Drazer and J. Koplik.
Wetting and particle absorption in nanoflows, Phys. Fluids 17, 017102 (2004), G. Drazer, B. Khusid, J. Koplik and A. Acrivos.
Hysteresis, force oscillations, and non-equilibrium effects in the adhesion of nanoparticles to atomically smooth surfaces, Phys. Rev. Lett. 95, 016102 (2005), G. Drazer, B. Khusid, J. Koplik and A.
PI Veerabhadra Kotamarthi
Harris, L and V. R. Kotamarthi, The characteristics of the Chicago Lake Breeze and its Effects on Trace Particle Transport: Results from and Episodic Event Simulation. Accepted Journal of Applied
Meteorology, 2005.
Gaffney, J. S., N. A. Marley, M. M. Cunningham and V. R. Kotamarthi, Beryllium-7 Measurements in the Houston and Phoenix Urban Areas: Estimation of upper atmospheric ozone contributions. J. Air and
Waste Manage. Assoc., 55, 1228-1235, 2005.
Im, H. K., M. L. Stein and V. R. Kotamarthi, Predicting CMAQ ammonia wet deposition and a novel approach to inverse modeling. Accepted Journal of Geophysical Research, 2005
PI Steven Krueger
Luo, Y., S. K. Krueger, and S. Moorthi, 2005: Cloud properties simulated by a single-column model. Part I: Comparison to cloud radar observations of cirrus clouds. J. Atmos. Sci., 62, 1428-1445.
Luo, Y., S. K. Krueger, and K.-M. Xu, 2005: Cloud Properties Simulated by a Single-Column Model. Part II: Evaluation of Cumulus Detrainment and Ice-phase Microphysics Using a Cloud Resolving Model.
Submitted to J. Atmos. Sci., April 2005.
Xie, S., M. H. Zhang, M. Branson, R. T. Cederwall, A. D. Del Genio, Z. A. Eitzen, S. J. Ghan, S. F. Iacobellis, M. Khairoutdinov, S. A. Klein, S. K. Krueger, W. Lin, U. Lohmann, D. A. Randall, R. C.
J. Somerville, Y. C. Sud, G. K. Walker, A. Wolf, X. Wu, K.-M. Xu, J. J. Yio, G. Zhang, and J. Zhang, 2005: Simulations of Midlatitude Frontal Clouds by SCMs and CRMs during the ARM March 2000 Cloud
IOP. J.~Geophys. Res., 110, D15S03, doi:10.1029/2004JD005119.
PI John Kuriyan
Kazmirski, S. L, Podobnik, M., Weitze, T. F., O'Donnell, M., & Kuriyan, J. (2004). Structural analysis of the inactive state of the Escherichia coli DNA polymerase clamp-loader complex. Proc. Natl.
Acad. Sci. USA 101, 16750-16755.
Karplus, M. & Kuriyan, J. (2005). Molecular dynamics and protein function. Proc. Natl. Acad. Sci. USA 102, 6679-6685.
Kazmirski, S. L., Zhao, Y., Bowman, G. D., O'Donnell, M., & Kuriyan, J. (2005). Out-of-plane motions in open sliding clamps: Molecular dynamics simulations of eukaryotic and archaeal proliferating
cell nuclear antigen. Proc. Natl. Acad. Sci. USA 102, In Press.
PI Andrew Lacis
J. Boissoles, A. Domanskaya, C. Boulet, R. H. Tipping, and Q. Ma,New Experimental Measurements and Theoretical Analysis of the Collision-Induced Absorption in N2-N2 Pairs. J. Quant. Spect. Radiat.
Transfer 95, 489-498 (2005).
R. H. Tipping, Q. Ma, C. Boulet, J.-M. Hartmann, Theoretical Analysis of the Collision-Induced Electronic Absorptions in O2-N2 and O2-CO2 Pairs. J. Mol. Structure 742, 83-86 (2005).
PI Jean-Francois Lamarque
Lamarque, J.-F.; Kiehl, J. T.; Hess, P. G.; Collins, W. D.; Emmons, L. K.; Ginoux, P.; Luo, C.; Tie, X. X. Response of a coupled chemistry-climate model to changes in aerosol emissions: Global impact
on the hydrological cycle and the tropospheric burdens of OH, ozone, and NOx. Geophys. Res. Lett., Vol. 32, No. 16, L16809.
PI Uzi Landman
U. Landman, "Materials by Numbers: Computations as Tools of Discovery", perspective article in Proc. Nat. Acad. Sci. (USA), 102, 6671 (2005).
B. Yoon, H. Hakkinen, U. Landman, A. Wvrz, S. Abbet, K. Judai, U. Heiz, "Charging Effects on Bonding and catalyzed oxidation of CO on Au8 Clusters Supported on MgO", Science, 307, 403 (2005).
A. Bongiorno and U. Landman, "Water Enhanced Catalysis of CO oxidation on Supported Gold Nanoclusters", Phys. Rev. Lett. September 6, 2005.
C. Yannouleas and Uzi Landman, "Electron Localization and Entaglement in a Two-Electron Quantum Dot", Phys. Rev. Lett. (2005). ArXiv: cond-mat/ 0501612
I. Romanovsky, C. Yannouleas, U. Landman, "Crystalline Boson Phases in Harmonic Traps: Beyond Gross-Pitaevskii Mean Field", Phys. Rev. Lett. 93, 230405 (2004).
PI Jean-Noel Leboeuf
William Nevins, Greg Hammett, Andris Dimits, William Dorland, Dan E. Shumaker, "Discrete particle noise in particle-in-cell simulations of plasma microturbulence" , Submitted to Phys.Plasmas, August
Waltz RE, Candy J, Hinton FL, Estrada-Mila C, Kinsey JE. Advances in comprehensive gyrokinetic simulations of transport in tokamaks. [Journal Paper] Nuclear Fusion, vol.45, no.7, July 2005, pp.741
-50. Publisher: IAEA;IOP, Austria.
Kinsey JE, Waltz RE, Candy J. Nonlinear gyrokinetic turbulence simulations of E*B shear quenching of transport. [Journal Paper] Physics of Plasmas, vol.12, no.6, June 2005, pp.62302-1-9. Publisher:
AIP, USA.
Zimmerman DS, Triana SA, Sisan DR, Tillotson WA, Dorland W, Lathrop DP. Characterization of the magnetorotational instability from a turbulent background state. [Conference Paper] AIP. American
Institute of Physics Conference Proceedings, no.733, 2004, pp.13-20. USA.
Rogers BN, Dorland W. Noncurvature-driven modes in a transport barrier. [Journal Paper] Physics of Plasmas, vol.12, no.6, June 2005, pp.62511-1-12. Publisher: AIP, USA.
Drake JF, Shay MA, Thongthai W, Swisdak M. Production of energetic electrons during magnetic reconnection. [Journal Paper] Physical Review Letters, vol.94, no.9, 11 March 2005, pp.095001/1-4.
Publisher: APS, USA.
Armaou A, Kevrekidis IG, Theodoropoulos C. Equation-free gaptooth-based controller design for distributed complex/multiscale processes. [Journal Paper] Computers & Chemical Engineering, vol.29, no.4,
15 March 2005, pp.731-40. Publisher: Elsevier, UK.
Estrada-Mila C, Candy J, Waltz RE. Gyrokinetic simulations of ion and impurity transport. [Journal Paper] Physics of Plasmas, vol.12, no.2, Feb. 2005, pp.22305-1-14. Publisher: AIP, USA.
Applegate DJ, Roach CM, Cowley SC, Dorland WD, Joiner N, Akers RJ, Conway NJ, Field AR, Patel A, Valovic M, Walsh MJ. Microstability in a "MAST-like" high confinement mode spherical tokamak
equilibrium. [Journal Paper] Physics of Plasmas, vol.11, no.11, Nov. 2004, pp.5085-94. Publisher: AIP, USA.
Leboeuf, Jean-Noel James C. Kniep, Jean-Noel G. Leboeuf, and Viktor K. Decyk,"Gyrokinetic Particle-In-Cell Calculations of Ion Temperature Gradient Driven Turbulence with Parallel Nonlinearity and
Strong Flow Corrections", Comp. Phys. Comm. 164/1-3, 98-102 (2004).
M. Yagi, S. Yoshida, S.-I. Itoh, H. Naitou, H. Nagahara, J.-N. Leboeuf, K. Itoh, T. Matsumoto, S. Tokuda, and M. Azumi, " Nonlinear simulation of tearing mode based on 4-field RMHD model", Nucl.
Fusion 45, 900-906 (2005).
V. I. Sotnikov, J. N. Leboeuf, C. Deeney, and C.A. Coverdale, P. Hellinger, P. Travnicek, and V. Fiala, "Hybrid simulation of the Z-pinch instabilities for profiles generated in the process of wire
array implosion in the Saturn pulsed power generator", Accepted for Publication, Phys. Plasmas, July 17, 2004.
P.-A. Gourdain and J. N. Leboeuf, "High resolution magnetohydrodynamic equilibrium code for unity beta plasmas", Submitted for Publication, Journal of Computational Physics, October 13, 2004.
Leboeuf, Jean-Noel P.L. Pritchett, "Onset and Saturation of Guide-Field Magnetic Reconnection", Phys. Plasmas, 12, 062301, 2005.
P.L. Pritchett, "Externally Driven Magnetic Reconnection in the Presence of a Normal Magnetic Field", J. Geophys. Res., 110, A05209, doi:10.1029/2004JA010948, 2005.
P.L. Pritchett, "Onset of Magnetic Reconnection", in Reconnection of Magnetic Fields, edited by J. Birn and E. Priest, in press, Cambridge Univ. Press, Cambridge, 2005.
B. Lembege, P.L. Pritchett, M.V. Goldman, and D.L. Newman, "Kinetic and Nonlinear Processes in Space Plasma", Rev. Radio Sci., in press, 2005.
J. Birn, P.L. Pritchett, and 10 other authors, "Forced Magnetic Reconnection", Geophys. Res. Lett., 32, L06105, doi:10.1029/2004GL022058, 2005.
P.L. Pritchett, "The "Newton Challenge": Kinetic Aspects of Forced Magnetic Reconnection", J. Geophys. Res., in press, 2005.
A Numerical Instability in an ADI Algorithm for Gyrokinetics, by E. Belli & G. Hammett. Comput. Phys. Comm., accepted for publication, June 2005.
Dongbin Xiu, Kevrekidis IG, Ghanem R. An equation-free, multiscale approach to uncertainty quantification. Computing in Science & Engineering, vol.7, no.3, May-June 2005, pp.16 -23. Publisher: IEEE
Comput. Soc, USA.
Cattell C, Dombeck J, Wygant J, Drake JF, Swisdak M, Goldstein ML, Keith W, Fazakerley A, Andre M, Lucek E, Balogh A. Cluster observations of electron holes in association with magnetotail
reconnection and comparison to simulations. Journal of Geophysical Research, vol.110, no.A1, 1 Jan. 2005, pp.16 pp.. Publisher: American Geophys. Union, USA.
PI Frank Lee
"Baryon magnetic moments in the background field method", F.X. Lee, R. Kelly, L. Zhou, W. Wilcox. Phys. Lett. B 627, 71 (2005), hep-lat/0509067.
"Electric Polarizability of Neutral Hadrons from Lattice QCD", J. Christensen, W. Wilcox, F.X. Lee, L. Zhou, Phys. Rev. D 72, 034503 (2005).
"Magnetic Polarizability of Hadrons from Lattice QCD in the Background Field Method", F.X. Lee, L. Zhou, W. Wilcox, J. Christensen, submitted to Phys. Rev. D, hep-lat/0509065
"Baryon Resonances And Pentaquarks On The Lattice", F.X. Lee, C. Bennhold, Nucl.Phys.A754:248-260,2005.
"Excited Baryons And Pentaquarks On The Lattice", F.X. Lee, Int.J.Mod.Phys.A20:250-262,2005.
"Roper Resonance and S11(1535) in Lattice QCD", S.J. Dong, T. Draper, I. Horvath, F.X. Lee, K.F. Liu, N. Mathur, J.B. Zhang, Phys. Lett. B605, 137 (2005). hep-ph/0306199.
"A study of pentaquarks on the lattice with overlap fermions", N. Mathur, F.X. Lee, A. Alexandru, C. Bennhold, Y. Chen, S.J. Dong, T. Draper, I. Horvath, K.F. Liu, S. Tamhankar, J.B. Zhang, Phys.
Rev. D 70, 074508 (2004), hep-ph/0406196.
"Inherently Global Nature of Topological Charge Fluctuations in QCD", I. Horvath, A. Alexandru, J.B. Zhang, Y. Chen, S.J. Dong, T. Draper, F.X. Lee, K.F. Liu, N. Mathur, S. Tamhankar, H.B. Thacker,
Phys. Lett. B 612, 21 (2005), hep-lat/0501025.
"Topological Charge Barrier in the Markov-Chain of QCD", D.B. Leinweber, A.G. Williams, J.B. Zhang, F.X. Lee, Phys. Lett. B 585, 187 (2004). hep-lat/0312035.
"Inherently Global Nature of Topological Charge Fluctuations in QCD", I. Horvath, A. Alexandru, J.B. Zhang, Y. Chen, S.J. Dong, T. Draper, F.X. Lee, K.F. Liu, N. Mathur, S. Tamhankar, H.B. Thacker,
Phys. Lett. B 612, 21 (2005), hep-lat/0501025.
"Topological Charge Barrier in the Markov-Chain of QCD", D.B. Leinweber, A.G. Williams, J.B. Zhang, F.X. Lee, Phys. Lett. B 585, 187 (2004). hep-lat/0312035.
PI Patrick Lee
K.S.D.Beach, P.A.Lee and P. Monthoux, "Field induced antiferromagnetism and the Kondo Insulator-to-Metal Transition", Phys. Rev. Lett. 92,026401 (2004)
PI Wei-li Lee
"Theoretical and Numerical Properties of a Gyrokinetic Plasma: issues related to transport time scale simulation," W. W. Lee, Comp. Phys. Comm. 164, 244 (2004).
"Electron Thermal Transport in Tokamaks: ETG or TEM Turbulence?," Z. Lin Y. Nishimura, H. Qu, T. S. Hahm, J. L. V. Lewandowski, G. Rewoldt, W. X. Wang, P. H. Diamond, C. Holland, F. Zonca, and Y. Li,
IAEA-CN/TH/8-4 (2004).
"Turbulence Spreading into Linearly Stable Zone and Transport Scaling T.S. Hahm, P.H. Diamond, Z. Lin, K. Itoh, and S.-I. Itoh, Plasma Phys. Control. Fusion 46, A323 (2004)
"Turbulence spreading and transport scaling in global gyrokinetic particle simulations", Z. Lin and T. S. Hahm, Phys. Plasmas 11, 1099 (2004).
"Global delta f Particle Simulation of Neoclassical Transport and Ambipolar Electric Field in General Geometry," W.X. Wang, W.M. Tang, F.L. Hinton et al., Comp. Phys. Communications 164, 178 (2004)
"On the Dynamics of Edge-Core Coupling," T.S. Hahm, P.H. Diamond, Z. Lin, G. Rewoldt, et al., to appear in Phys. Plasmas (2005), Paper TH/1-4 IAEA (2004)
"Physics behind Transport Barrier Theory and Simulations," T.S. Hahm, Plasma Phys. Control. Fusion 44, A87 (2004).
"Porting the 3D gyrokinetic particle-in-cell code GTC to the NEC SX-6 vector architecture: perspectives and challenges," S. Ethier and Z. Lin, Comp. Phys. Comm. 164, 456 (2004).
"Role of nonlinear toroidal coupling in electron temperature gradient turbulence," Z. Lin, L. Chen and F. Zonca, 12, 056125 (2005).
"Gyrokinetic delta f simulation of the collisionless and collisonal tearing mode instability," Phys. Plasmas 12, Art. No. 012311 (2005).
"Global particle-in-cell simulations of microturbulence with kinetic electrons," J. L. V. Lewandowski, invited talk, APS/DPP (2005).
PI William Lester
A. Aspuru-Guzik, R. Salomon-Ferrer, B. Austin, and W. A. Lester, Jr.,"A Sparse Algorithm for the Evaluation of the Local Energy in Quantum Monte Carlo", J. Comput. Chem. 26, 708 (2005).
A. Aspuru-Guzik, R. Salomon-Ferrer, B. Austin, R. Perusquia-Flores, M. A. Griffin, R. A. Oliva, D. Skinner, D. Domin, and W. A. Lester, Jr.," Zori 1.0: A Parallel Quantum Monte Carlo Electronic
Package", J. Comput. Chem. 26, 856 (2005).
A. Aspuru-Guzik, A. C. Kollias, R. Salomon-Ferrer, and W. A. Lester, Jr. "Quantum Monted Carlo: Theory and Applications to Atomic, Molecular and Nano Systems," to appear in the Handbook of
Theoretical and Computational Nanotechnology, eds. M.Rieth and W. Schommers.
A.C. Kollias, D. Domin, G. Hill, M. Frenklach, D. M. Golden, and W. A. Lester, Jr., "Quantum Monte Carlo Study of Heats of Formation and Bond Dissociation Energies of Small Hydrocarbons," accepted by
Int. J. Chem. Kinetics.
A. Aspuru-Guzik and W. A. Lester, Jr., "Quantum Monte Carlo: Theory and Application to Molecular Systems," accepted by Adv. Quant. Chem.
A. C. Kollias, D. Domin, G. Hill, M. Frenklach, and W. A. Lester, Jr., "Quantum Monte Carlo Study of Small Hydrocarbon Atomization Energies," accepted by Mol. Phys.
PI Lai-Yung Ruby Leung
Liang, X., L.R. Leung, M. Huang, Y. Qian, M.S. Wigmosta, G.B. Matanga, and D. Mathews. 2005. "PUB Working Group on Orographic Precipitation, Surface and Groundwater Interactions, and Their Impacts on
Water Resources." IAHS Redbook, submitted.
Qian, Y., D.P. Kaiser, L.R. Leung, and M. Xu, 2005. "More Frequent Cloud Free Sky and Less Surface Solar Radiation in China From 1955-2000." Geophys. Res. Lett., submitted.
Leung, L.R., Y.-H. Kuo, and J. Tribbia. 2005. "Research Needs and Directions of Regional Climate Modeling Using WRF and CCSM." Bull. Amer. Meteorol. Soc., submitted.
Duffy, P. B., W. Arritt, J. Coquard, W. Gutowski, J. Han, J. Iorio, J. Kim, L. R. Leung, J. Roads, E. Zeledon. 2005. "Simulations of Present and Future Climates in the Western U.S. with Four Nested
Regional Climate Models." J. Clim., accepted.
Qian, Y., Q. Song, S. Menon, S. Yu, S. Liu, G. Shi, L.R. Leung, and Y. Luo. 2005. "Climate Impacts of Atmospheric Sulfate and Black Carbon Aerosols." In A Review of Global Change Research in East
Asia, SCOPE/ START Rapid Assessment Book for East Asia, in press.
Zhao, Z.-C., L.R. Leung, and Y. Qian. 2005. "Characteristics of Diurnal Variations of Rainfall in China for the Recent Years." CLIVAR Exchanges, Vol 10(3), 24-26.
Leung, L.R., and Y. Qian. 2005. "Hydrologic Response to Climate Variability, Climate Change, and Climate Extreme in the U.S.: Climate Model Evaluation and Projections." In Regional Hydrological
Impacts of Climatic Change Impact Assessment and Decision Making, Wagener, T. et al. (Eds). IAHS Publication 295, pp37-44.
Leung, L.R. 2005. "Effects of Climate Variability and Change on Mountain Water Resources in the Western U.S." In Global Change and Mountain Regions: A State of Knowledge Overview, U.M. Huber, H.K.M.
Bugmann, and M.A. Reasoner, (eds.), Springer, Dordrecht, pp355-366.
Wang, Y.-Q, L.R. Leung, J.L. McGregor, D.-K. Lee, W.-C. Wang, Y. Ding, and F. Kimura. 2004. "Regional Climate Modeling: Progress, Challenges, and Prospects." Journal of the Meteorological Society of
Japan, Vol 82(6), 1599-1628.
Leung, L.R., S. Zhong, Y. Qian, and Y. Liu. 2004. "Evaluation of Regional Climate Simulations of the 1998 and 1999 East Asian Summer Monsoon Using the GAME/HUBEX Observational Data." Journal of the
Meteorological Society of Japan, Vol 82(6), 1695-1713.
Guo, J., X. Liang, and L.R. Leung. 2004. "A New Multi-scale Flow Network Generation Scheme for Land Surface Models." Geophys. Res. Lett., Vol 31, doi:10.1029/2004GL021381.
Guo, J., X. Liang, and L.R. Leung. 2004. "Impact of Different Precipitation Data Sources on Water Budgets." J. Hydrology, 298(1-4):311-334.
Liang, X., J. Guo, and L.R. Leung. 2004. "Assessment of the Effects of Spatial Resolutions on Daily Water Flux Simulations." J. Hydrology, 298(1-4):287-310.
PI Yu Lin
Lin, Y., X. Y. Wang, Z. Lin, and L. Chen, A Gyrokinetic Electron and Fully Kinetic Ion Plasma Simulation Model, Plasma Physics and Controlled Fusion, 47, 657, 2005.
Sun, X., Y. Lin, and X. Wang, Structure of Reconnection Layer With a Shear Flow Perpendicular to the Anti-Parallel Magnetic Field Component, Physics of Plasmas, 12, 012305, 2005.
Lin, Y. and X. Y. Wang, Three-Dimensional Global Hybrid Simulation of Dayside Dynamics Associated with the Quasi-Parallel Bow Shock, Journal of Geophysical Research, in press, 2005.
PI Feng Liu
Guang-Hong Lu and Feng Liu, Towards quantitative understanding of formation and stability of Ge hut island on Si(001), Physical Review Letters 94, 176103 (2005).
Guang-Hong Lu, Martin Cuma, and Feng Liu, First-principles study of strain stabilization of Ge(105) facet on Si(001), Physical Review B, in press.
Guang-Hong Lu, Minghuang Huang, Martin Cuma and Feng Liu, Relative stability of Si surfaces: a first-principles study, Surface Science 588, 61 (2005).
Bin Yan, Feng Liu, and M.G. Lagally, Local strain-mediated chemical potential control of quantum dot self-organization in heteroepitaxy, Physical Review Letters 92, 025502 (2004).
M. Huang, M. Cuma, and Feng Liu, Seeing the Atomic Orbital: first-principles study of effect of tip termination on atomic force microscopy, Physical Review Letters 90, 256101 (2003).
Minghuang Huang, P. Rugheimer, M. G. Lagally, and Feng Liu, Bending of nanoscale ultrathin substrates by growth of strained thin films and islands, Physical Review B, in press.
PI Keh-Fei Liu
`The Negativity of the Overlap-Based Topological Charge Density Correlator in Pure-Glue QCD and the Non-Integrable Nature of its Contact Part', I. Horvath, A. Alexandru, J.B. Zhang, Y. Chen, S.J.
Dong, T. Draper, K.F. Liu, N. Mathur, S. Tamhankar, and H.B. Thacker, Phys. Lett. B617 (2005) 49-59, [hep-lat/0504005].
`Inherently Global Nature of Topological Charge Fluctuations in QCD', I. Horvath, A. Alexandru, J.B. Zhang, Y. Chen, S.J. Dong, T. Draper, F.X. Lee, K.F. Liu, N. Mathur, S. Tamhankar, and H.B.
Thacker, Phys. Lett. B612 (2005) 21-28 [hep-lat/0501025].
`A Finite Baryon Density Algorithm', Keh-Fei Liu, QCD and Numerical Analysis III, p. 101, Springer, 2005
`A study of pentaquarks on the lattice with overlap fermions', N. Mathur, F.X. Lee, A. Alexandru, C. Bennhold, Y. Chen, S.J. Dong, T. Draper, I. Horvath, K.F. Liu, S. Tamhankar, and J.B. Zhang, Phys.
Rev. D70 (2004) 074508 [hep-ph/0406196].
`Roper Resonance and S_{11}(1535) from Lattice QCD', N. Mathur, Y. Chen, S.J. Dong, T. Draper, I. Horvath, F.X. Lee, K.F. Liu, J.B. Zhang, Phys. Lett. B605 (2005) 137-143 [hep-ph/0306199].
`Chiral Logs in Quenched QCD', Y. Chen, S.J. Dong, T. Draper, I. Horvath, F.X. Lee, K.F. Liu, N. Mathur, J.B. Zhang, Phys. Rev. D70 (2004) 034502 [hep-lat/0304005].
`Heavy and Light and Quarks with Lattice Chiral Fermions', K.F. Liu and S.J. Dong, To appear in Int. Jou. Mod. Phys. (2005)
`Progress on a canonical finite density algorithm' Andrei Alexandru, Manfried Faber, Ivan Horvath, and Keh-Fei Liu, Nucl. Phys. Proc. Suppl. 140 (2005) 517 [hep-lat/0410002].
`Charmonium Spectrum from Quenched QCD with Overlap Fermions' S. Tamhankar, A. Alexandru, Y. Chen, S. J. Dong, T. Draper, I. Horvath, F. X. Lee, K. F. Liu, N. Mathur, and J. B. Zhang, Nucl. Phys.
Proc. Suppl. 140 (2005) 434 [hep-lat/0409128].
`Nonperturbative renormalisation of composite operators with overlap quarks', J. B. Zhang, D. B. Leinweber, K. F. Liu, and A. G. Williams, Nucl. Phys. Proc. Suppl. 128 (2004) 240-247 [hep-lat/
`Improved Measure of Local Chirality', Terrence Draper, Andrei Alexandru, Ying Chen, Shao-Jing Dong, Ivan Horvath, Frank Lee, Nilmani Mathur, Harry B. Thacker, Sonali Tamhankar, and Jianbo Zhang,
Nucl. Phys. Proc. Suppl. 140 (2005) 434 hep-lat/0408006].
`Low-dimensional long-range topological structure in the QCD vacuum', I. Horvath, S.J. Dong, T. Draper, F.X. Lee, K.F. Liu, N. Mathur, J.B. Zhang, and H.B. Thacker, Nucl. Phys. Proc. Suppl.129 (2004)
PI Zhengyu Liu
Liu, Z., Q. Zhang, and L. Wu (2004). Remote Impact on Tropical Atlantic Climate Variability: Statistical Assessment and Dynamic Assessment. Journal of Climate 17(7), p. 1529-1549, DOI: 10.1175/
1520-0442. CCR #820.
Liu, Z., W. Lewis, A Ganopolski (2004) A Coordinated Acceleration Scheme to the Simulation of Long Term Climate Evolution. Climate Dynamics 22: 771-781, DOI: 10.1007/s00382-004-0416-y. CCR #843
Liu, Z. and L. Wu. (2004): Atmospheric Response to North Pacific SST: The Role of Ocean-Atmosphere Coupling. J. Clim., 17,1859-1882.
Notaro, M., Z. Liu, R. Gallimore, S. Vavrus, J. Kutzbach, I.C. Prentice, and R. Jacob. Simulated and Observed Pre-Industrial to Modern Vegetation and Climate Changes. Accepted by Journal of Climate.
CCR #854
Ruddiman, W., S. Vavrus, and J.E. Kutzbach (2005). A test of overdue-glaciation hypothesis. Quaternary Science Reviews 24(1-2), pgs. 1-10, doi: 1031016/j.quascirev.2004.07.010. CCR #852
Vavrus S., M. Notaro and Z. Liu, (2005) "A mechanism for abrupt climate change associated with tropical Pacific SSTs". J. Clim., in press.
Wu, L. and Z. Liu (2005). North Atlantic decadal variability: Air-Sea Coupling, Oceanic Memory and Potential Northern Hemisphere Resonance. Journal of Climate 18(2), pp. 331-349. doi: 10.1175/
JCLI-3264.1. CCR #844
Yang, H. and Z. Liu (2005). Tropical-Extratropical climate interaction as revealed in idealized coupled climate model experiments. Climate Dynamics, doi: 10.1007/s00382-005-0021-8. CCR #829
Yang, H., Z. Liu and Q. Zhang, (2004): Tropical Ocean Decadal Variability and the Resonance of Planetary Wave Basin Modes: II: Numerical Study. J. Clim., 17, 1711-1721.
Yang, H., Q. Zhang, Y. Zhong, S. Varvrus, and Z. Liu (2005): How does Extratropical Warming Effect ENSO? Geophysical Research Letters 32, L01702. doi:10.1029/2004GL021624. CCR#852.
PI Steven Louie
A. Trave, F.J. Ribeiro, S.G. Louie and M.L. Cohen, "Energetics and structural characterization of C60 polymerization in BN and carbon Nanopeapods", Phys. Rev. B 70, 205418 (2004).
V. Brouet, W.L. Yang, X.J. Zhou, H.J. Choi, S.G. Louie, M.L. Cohen, A. Goldoni, F. Parmigiani, Z. Hussain and Z.X. Shen, "Orientation- dependent C60 electronic structures revealed by photoemission
spectroscopy", Phys. Rev. Lett. 93, 197601 (2004).
M.L. Tiago, S. Ismail-Beigi, and S.G. Louie, "Effect of Semicore Orbitals on the Electronic Band Gaps of Si, Ge, and GaAs Within the GW Approximation", Phys. Rev. B 69, 125212 (2004).
K.H. Khoo, M.S.C. Mazzoni, and S.G. Louie, "Tuning the Electronic Properties of Boron Nitride Nanotbues with Transverse Electric Field s: A Giant DC Stark Effect", Phys. Rev. B 69, 201401 (2004).
M.L. Tiago, S. Ismail-Beigi, and S.G. Louie, "Photoisomerization of Azobenzene from First-Principles Constrained Density-Functional Calculations", J. Chem. Phys. 122, 094311 (2005).
M. Grobis, K.H. Khoo, R. Yamachika, X Lu, K. Nagaoka, S.G. Louie, M.F. Crommie, H. Kato and H. Shinohara, "Spatially Dependent Inelastic Tunneling in a Single Metallofullerene", Phys. Rev. Lett 94,
136802 (2005).
J.L. Li, G.M. Rignanese, and S.G. Louie, "Quasiparticle Energy Bands of NiO in the GW Approximation," Phys. Rev B 71, 193102 (2005).
M.L. Tiago, M. Rohlfing and S.G. Louie, "Bound Excitons and Optical Properties of Bulk Trans-Polyacetylene", Phys. Rev. B 70, 193204 (2004).
J.B. Neaton, K.H. Khoo, C.D. Spataru, and S.G. Louie, "Electronic Transport and Optical Properties of Carbon Nanostructures from First Principles", Comp. Phys. Comm. 169, 1 (2005).
PI Walter Loveland
R. Arratia-Perez, L. Hernadez-Acevedo and G. L. Malli," Calculated optical and magnetic properties of hexafluorouranate(V)anion:UF6-",J.Chem.Phys.121,7743 (2004).
G. L. Malli," Relativistic Quantum Chemistry of Heavy and Superheavy Elements:Fully Relativistic Coupled-Cluster Calculations for Molecules of Heavy and Transactinide Superheavy Elements",
Fundamental World of Quantum Chemistry, Vol III,323-363(2004)..
G. L. Malli, M. Siegert and D. P. Turner, " Relativistic and Electron Correlation Effects for Molecules of Heavy Elements: Ab initio Fully Relativistic Coupled-Cluster Calculations for PbH4",Int .J.
Quantum. Chem 99, 940-949(2004).
K. E. Gregorich and W. Loveland et al. " Attempts to confirm superheavy element production in the 48Ca+ 238U reaction", Phys .Rev. C 72, 014605(2005).
W. Loveland, A. Gallant and C. Joiner, J. Radioanal. Nucl. Chem. 263,1 51(2005).
W. Loveland," Synthesis of heavy nucleiusing radioactive beams",Nucl.Phys. A746,108c(2004).
P. R. Watson, W. Loveland, P. M. Zelinski, K .E. Gregorich and H. Nitsche, Nucl. Instru. Meth. Phys. Res.B 226,543(2004).
J. F. Liang, D. Shapira, C. J. Gross, J. R. Beene, J. D. Bierman, A. Galindo-Uribarri, J. Gomez del Compo, P. A. Hausladen, Y. Larochelle, W. Loveland et. al " Sub-barrier fusion enhancement in
neutron-rich 132 Sn on 64 Ni", Prog. Theoret. Physics Supplement, 154,106 (2004).
PI Chung-Pei Ma
M. Boylan--Kolchin, C.-P. Ma, and E. Quataert (2005), Monthly Notices of Royal Astronomical Society, 362, 184. [astro-ph/0502495] ``Dissipationless Mergers of Elliptical Galaxies and the Evolution of
the Fundamental Plane''
B. Hagan, C.-P. Ma, and A. Kravtsov (2005), Astrophysical Journal, 633. ``Impact of Dark Matter Substructure on the Matter and Weak Lensing Power Spectra''
M. Boylan-Kolchin, C.-P. Ma, and E. Quataert (2004), Astrophysical Journal Letters, 613, L37. ``Core Formation in Galactic Nuclei due to Recoiling Black Holes''
PI Evan Ma
Atomic packing and short-to-medium range order in metallic glasses, H.W. Sheng, W.K. Luo, F.M. Alamgir, J.M. Bai, and E. Ma Nature, (accepted, 2005)
PI Kyoko Makino
D.A. Ovsyannikov, K. Makino, and M. Berz (Eds.), Proceedings, Eighth International Computational Accelerator Physics Conference, St. Petersburg, Russia, 2004. To appear as special Volumes of Nuclear
Instruments and Methods.
M. Berz and K. Makino (Eds.), Proceedings, Seventh International Computational Accelerator Physics Conference, East Lansing, IOP Publishing Conference Series 175, 2004
M. Berz, K. Makino and Y.-K. Kim, Long-term Stability of the Tevatron by Validated Global Optimization, Nuclear Instruments and Methods, in print, 2005
C. J. Johnstone, M. Berz and K. Makino, Staging Accelerations in a Neutrino Factory, Nuclear Instruments and Methods, in print, 2005
P. Snopok, M. Berz, K. Makino, and C. Johnstone, Simulation and Optimization of the Tevatron Accelerator, Lecture Notes in Computer Science, Marcel Dekker, 2005
J. Grote, M. Berz and K. Makino, High-Order Representation of Poincare Maps, Lecture Notes in Computer Science, Marcel Dekker, 2005
M. Berz and K. Makino, Performance of Taylor Model Methods for Validated Integration of ODEs, PARA04 State of the Art in Scientific Computing, in print, 2005
P. V. Snopok, C. J. Johnstone, M. Berz, D.A. Ovsyannikov and A.D. Ovsyannikov, Study and Optimal Correction of a Systematic Skew Quadrupole Field in the Tevatron, Nuclear Instru-ments and Methods, in
print, 2005
S. Manikonda and M. Berz, A Highly Accurate High-Order Method to Solve the Helmholtz Boundary Value Problem for the 3D Laplace Equation, International Journal of Pure and Applied Mathematics, in
print, 2005
S.L. Manikonda and M. Berz, Multipole Expansion Solution of the Laplace Equation using Surface Data, Nuclear Instruments and Methods, 2004
K. Makino and M. Berz, Tetra Cooler Ring Simulations in COSY INFINITY, Neutrino Factories and Superbeams, AIP Conference Proceedings 721, 418, 2004
J. Grote, M. Berz and K. Makino, High-Order DA Methods for the Determination of Poincare Sections, Nuclear Instruments and Methods, 2004
M. Berz, K. Makino and C. J. Johnstone, Propagation of a Large-Emittance Muon Beam through a Straight, Quadrupole-based Precooling Channels, in: Neutrino Factories and Super-beams, AIP Conference
Proceedings 721, 413, 2004
A. A. Poklonskiy, D. Neuffer, C.J. Johnstone, M. Berz and K. Makino, Optimizing the Adia-batic Buncher and Phase Rotator, Nuclear Instruments and Methods, 2004
K. Makino and M. Berz, COSY INFINITY Version 9, Nuclear Instruments and Methods, in print, 2004
D. Errede, M Berz, C. J. Johnstone, K. Makino, and A. van Ginneken. Stochastic processes in muon ionization cooling. Nuclear Instruments and Methods A519, 466-471, 2004
B. Erdelyi and M. Berz, Local Theory and Applications of Extended Generating Functions, International Journal of Pure and Applied Mathematics, 11,3, 241-282, 2004
C. J. Johnstone, M. Berz, D. Errede, and K. Makino. Muon beam ionization cooling in a linear quadrupole channel. Nuclear Instruments and Methods A519, 472-482, 2004
C. O. Maidana, M. Berz, and K. Makino. Muon beam ring cooler simulations using COSY INFINITY. IOP Conference Proceedings 175, 211-218, 2004
M. L. Shashikant, M. Berz, and B. Erdelyi. COSY Infinity EXPO symplectic tracking for LHC. IOP Conference Proceedings 175, 299-305, 2004
K. Makino, M. Berz, D. Errede, and C. J. Johnstone. High order map treatment of superimposed cavities, absorbers, and magnetic multipole and solenoid fields. Nuclear Instruments and Methods A519,
162-174, 2004
M. Berz and K. Makino. New approaches for the validation of transfer maps using remain-der-enhanced differential algebra. Nuclear Instruments and Methods A519, 53-62, 2004
PI Osni Marques
A Survey of High Quality Computational Libraries and Their Impact in Science and Engineering Applications, T. Drummond, O. Marques, J. Roman and V. Vidal. High Performance Computing for Computational
Science - VECPAR 2004, Lecture Notes in Computer Science 3402, Springer Verlag.
Building A Software Infrastructure for Computational Science Applications: Lessons and Solutions, O. Marques and T. Drummond, Second International Workshop on Software Engineering for High
Performance Computing System Applications, St. Louis, MO - May 15, 2005.
PI Angelo Mascarenhas
Y. Zhang, A. Mascarenhas, and L.W. Wang, III-V-Bi versus III-V-N: similar and dissimilar aspects, Phys. Rev. B 71, 155201 (2005).
B. S. Ma, F. H. Su, K. Ding, G. H. Li, Y. Zhang, A. Mascarenhas, H. P. Xin, and C. W. Tu, Pressure behavior of the alloy band-edge and nitrogen related centers in GaAs0.999N0,001, Phys. Rev. B 71,
45213 (2005).
Y. Zhang and A. Mascarenhas, Total and negative refraction of electromagnetic waves, Modern Physics Letters B 19, 21 (2005) (An invited review paper).
B. Fluegel, Y. Zhang, J. F. Geisz, and A. Mascarenhas, Confirmation of the impurity-band model for GaP(1-x)Nx, Phys. Rev. B (in press).
B. Fluegel, Y. Zhang, J. F. Geisz, and A. Mascarenhas, Comment on Experimental evidence for N-induced strong coupling of host conduction band states in GaP(1-x)Nx: Insight into the dominant mechanism
for giant band-gap bowing, Phys. Rev. B (accepted)
PI Manos Mavrikakis
"Why Au and Cu are more selective than Pt for Preferential Oxidation of CO at low temperature", S. Kandoi, A. A. Gokhale, L. C. Grabow, J. A. Dumesic, M. Mavrikakis, Catalysis Letters 93, 93 (2004).
"Competitive Paths for Methanol Decomposition on Pt(111)", J. Greeley, M. Mavrikakis, Journal of the American Chemical Society 126, 3910 (2004).
"Adsorption and dissociation of O2 on Pt-Co and Pt-Fe alloys", Y. Xu, A. Ruban, M. Mavrikakis, Journal of the American Chemical Society 126, 4717 (2004).
"Strain-Induced Formation of Subsurface Species in Transition Metals", J. Greeley, W. P. Krekelberg, M. Mavrikakis, Angewandte Chemie International Edition 43, 4296 (2004).
"Effect of Sn on the reactivity of Cu surfaces", A. A. Gokhale, G. Huber, J. A. Dumesic, M. Mavrikakis, Journal of Physical Chemistry B 108, 14062 (2004).
"Molecular-level Descriptions of Surface Chemistry in Kinetic Models using Density Functional Theory", with A. Gokhale, S. Kandoi, J. Greeley, M. Mavrikakis, J. A. Dumesic, Chemical Engineering
Science 59, 4679 (2004).
"A New Class of Alloy Catalysts Designed from First-Principles", J. Greeley, M. Mavrikakis, Nature Materials 3, 810 (2004).
"Trends of Low Temperature Water Gas Shift Reactivity on Transition Metals", N. Schumacher, A. Boisen, S. Dahl, A. A. Gokhale, S. Kandoi, L. C. Grabow, J. A. Dumesic, M. Mavrikakis, I. Chorkendorff,
Journal of Catalysis 229, 265 (2005).
"Surface and Subsurface Hydrogen: Adsorption Properties on Transition Metals and Near-Surface Alloys", J. Greeley, M. Mavrikakis, Journal of Physical Chemistry B 109, 3460 (2005).
"Controlling the Catalytic Activity of Platinum Monolayer Electrocatalysts for Oxygen Reduction with Different Substrates", J. Zhang, M.B. Vukmirovic, Y. Xu, M. Mavrikakis, R. R. Adzic, Angewandte
Chemie International Edition 44, 2132 (2005).
"On the origin of the catalytic activity of nanometer gold particles for low temperature CO oxidation", N. Lopez, T. V. W. Janssens, B. S. Clausen, Y. Xu, M. Mavrikakis, T. Bligaard, J. K. N�rskov,
Journal of Catalysis - Priority Communication, 223, 232 (2004).
"Effect of Subsurface Oxygen on the Reactivity of the Ag(111) Surface", Y. Xu, J. Greeley, M. Mavrikakis, Journal of the American Chemical Society, 127, 12823 (2005).
"Mixed-Metal Pt Monolayer Electrocatalysts for Enhanced Oxygen Reduction Kinetics", J. Zhang, M.B. Vukmirovic, K. Sasaki, A.U. Nilekar, M. Mavrikakis, R.R. Adzic, Journal of the American Chemical
Society (Communication), 127, 12480 (2005).
"Direct Prediction of Experimental Methanol Decomposition Rates on Platinum from First-Principles", S. Kandoi, J. Greeley, M. Sanchez-Castillo, St. T. Evans, A. A. Gokhale, J. A. Dumesic, M.
Mavrikakis, Topics in Catalysis(in press).
"Near Surface Alloys for Hydrogen Fuel Cell Applications", J. Greeley, M. Mavrikakis, Catalysis Today (in press).
"Direct Prediction of Experimental Methanol Decomposition Rates on Platinum from First-Principles", S. Kandoi, J. Greeley, M. Sanchez-Castillo, St. T. Evans, A. A. Gokhale, J. A. Dumesic, M.
Mavrikakis, Topics in Catalysis(in press).
"Near Surface Alloys for Hydrogen Fuel Cell Applications", J. Greeley, M. Mavrikakis, Catalysis Today (in press).
"Effect of Subsurface Oxygen on the Reactivity of the Ag(111) Surface", Y. Xu, J. Greeley, M. Mavrikakis, Journal of the American Chemical Society (in press).
"Mixed-Metal Pt Monolayer Electrocatalysts for Enhanced Oxygen Reduction Kinetics", J. Zhang, M.B. Vukmirovic, K. Sasaki. A.U. Nilekar, M. Mavrikakis, R.R. Adzic, Journal of the American Chemical
Society (in press).
PI William McCurdy
D. A. Horner, J. Colgan, F. Martin, C. W. McCurdy and M. S. Pindzola and T. N. Rescigno, "Symmetrized Complex Amplitudes for He Double Photoionization from the Time-Dependent Close Coupling and
Exterior Complex Scaling Methods", Phys. Rev. A 70, 064701 (2004).
D. A. Horner, C. W. McCurdy and T. N. Rescigno, "Electron-Helium Scattering in the S-wave Model Using Exterior Complex Scaling", Phys. Rev. A 71, 012701 (2005).
W. Vanroose, F. Martin, T. N. Rescigno and C. W. McCurdy,"Nonperturbative Theory of Double Photoionization of the Hydrogen Molecule", Phys. Rev. A 70, 050703 (2004).
D. A. Horner, C. W. McCurdy and T. N. Rescigno, "Electron Impact Excitation-Ionization of Helium in the S-Wave Limit", Phys. Rev. A 71, 010701 (2005).
C. S. Trevisan, K. Houfek, Zh. Zhang, A. E. Orel, C. W. McCurdy and T. N. Rescigno, "A Nonlocal Model of Dissociative Electron Attachment and Vibrational Excitation of NO", Phys. Rev. A 71, 052714
D.J. Haxton, C. W. McCurdy and T. N. Rescigno, "Topology of the Adiabatic Potential Energy Surfaces for the Resonance States of the Water Anion", Phys. Rev. A 72, 022705 (2005).
PI William McMahon
"Step structures on MOVCD grown III-V phosphide (001) surfaces: How do steps and Sb affect CuPt ordering of GaInP?"; I.G. Batyrev, W.E. McMahon, S.B Zhang, J.M. Olson, and S.-H. Wei; Phys. Rev. Lett.
94, 096101 (2005).
"Borderline Magic Clustering: The Fabrication of Tetravalent Pb Cluster Arrays on Si(111) - (7 x 7) Surfaces"; Shao-Chun Li, Jin-Feng Jia, Rui-Fen Dou, Qi-Kun Xue, Iskander G. Batyrev, and S. B.
Zhang; Phys. Rev. Lett. 93, 116103 (2004).
"An STM and LEED Study of MOCVD-Prepared P/Ge (100) to (111) Surfaces"; W.E. McMahon, A.E. Kibbler and J.M. Olson; Surf. Sci. 571 (1-3), 146-156 (2004).
"Tip size effect on the appearance of a STM image for complex surfaces: Theory versus experiment for Si(111)-7x7"; Y. L. Wang, H.-J. Gao, H. M. Guo, H. W. Liu, I. G. Batyrev, W. E. McMahon, and S. B.
Zhang; Phys. Rev. B 70, 073312 (2004).
"An RDS, LEED, and STM Study of MOCVD-Prepared Si(100) Surfaces"; T. Hannappel, W.E. McMahon and J.M. Olson; J. Cryst. Growth 272 (1-4), 24-29 (2004).
PI Anthony Mezzacappa
"A Comparison of Algorithms for the Efficient Solution of the Linear Systems Arising from Multi-Group Flux-Limited Diffusion Problems", F.D. Swesty, D. C. Smolarski, and P. Saylor, The Astrophysical
Journal Supplement ser., vol. 153, 369 (2004), July (2004)
"Self-consistent Hartree-Fock mass formulae: a review", J.Rikovska Stone, J.Phys.G: Nucl.Part.Phys. 31, R1-R20 (2005)
"The Double Pulsar J0737-3039: Testing the neutron star equation of state" Ph.Podsiadlowski, J.D.M.Dewi, P.Lesaffre, J.C.Miller, W.Newton and J.R.Stone, Mon.Not.R.Astron.Soc, 361, 1243 (2005)
"Dipole giant resonance in heavy deformed nuclei" J.A.Maruhn, P.-G.Reinhard, P.D.Stevenson, J.Rikovska Stone, M.R.Strayer, Phys.Rev. C71, 064328 (2005)
"Magnetic moments of 2 1 states around 132Sn" B.A.Brown, N.J.Stone, J.R.Stone, I.Towner and M.Hjorth-Jensen, Phys.Rev.C71, 044327 (2005)
"Neutral-current Neutrino-nucleus Cross-sections for A ~ 50-65 Nuclei", A. Juodagalvis, K. Langanke, G. Martinez-Pinedo, W. R. Hix, D. J. Dean, and J. M. Sampaio, Nucl. Phys. A747, 87 (2005)
"Gamow-Teller GT distributions in nuclei with mass 90<=A<=97", A. Juodagalvis and D.J. Dean, in press, Phys. Rev. C (2005)
"Thermal properties of N=40 isotopes", K. Langanke, D.J. Dean, and W. Nazarewicz, in press, Nucl. Phys A (2005).
"Advances in Multi-dimensional Simulation of Core-Collapse Supernovae", F. D. Swesty and E. S. Myra, To appear in Open Issues in Core Collapse Supernovae, June (2005)
"Issues with Core-Collapse Supernova Progenitor Models", S. W. Bruenn, To appear in Open Issues in Core Collapse Supernovae, June (2005)
Equation of state for baryonic matter: J.R.Stone, To appear in Open Issues in Understanding of Core-Collapse Supernovae (June 2005)
PI David Mikkelsen
"Studies of Improved Electron Confinement on NSTX," D. Stutman, K. W. Hill, S. M. Kaye, M. H. Redi, E. J. Synakowski, M. G. Bell, R. E. Bell, C. Bourdelle, W. Dorland, M. Finkenthal, S. Kubota, B. P.
LeBlanc, F. Levinton, J. E. Menard, D. R. Mikkelsen, K. Tritz, and the NSTX Team, submitted to Nuclear Fusion, early version is available as paper EX/P2-8, IAEA Fusion Energy Conference, 1-6 November
2004, Vilamoura, Portugal.
"Microturbulent drift mode stability before internal transport barrier formation in the Alcator C-Mod radio frequency heated H-mode", M. H. Redi, W. Dorland, C. L. Fiore, J. A. Baumgaertel, E. M.
Belli, T. S. Hahm, G. W. Hammett, and G. Rewoldt , Phys. Plasmas 12 (2005) 072519
"Impact of the alpha parameter on the microstability of internal transport barriers", C. Bourdelle, G.T. Hoang, X. Litaudon, C.M. Roach and T. Tala for the ITPA Topical Group on Transport and ITB
Physics, and the International ITB Database Working Group, Nucl. Fusion 45 (2005) 110-130
"Transport modelling and gyrokinetic analysis of advanced high performance discharges", J.E. Kinsey, F. Imbeaux, G.M. Staebler, R. Budny, C. Bourdelle, A. Fukuyama, X. Garbet, T. Tala, V. Parail, for
the ITPA Topical Group on Transport Physics and the ITB Database Working Group Nucl. Fusion 45 (2005) 450-458
PI Norman Miller
Miller, N.L., A.W. King, M.A. Miller, E.P. Springer, M.L. Wesely and others. 2005: The Doe Water Cycle Pilot Study, Bull. Amer. Meteorological Soc., 359-374.
Maxwell, R.M. and N.L. Miller, 2005: On the development of a coupled land surface and groundwater model for use in watershed management. J. Hydrometeorology. 6, 233-247.
Brekke, L.D., N.W.T. Quinn, N.L. Miller, and J.A. Dracup, 2004: Climate Change Impacts Uncertainty for San Joaquin River Basin, J. Amer. Water Resources Assoc., 40, 149-164.
Hayhoe, K., D. Cayan, C.B. Field, P.C. Frumhoff, E.P. Maurer, N.L. Miller, S.C. Moser, S.H. Schneider, and Others, 2004: Emissions Pathways, Climate Change, and Impacts on California. Proc. National
Academy of Science, 101, 12422-12427. Maxwell, R.M. and N.L. Miller, 2005: On the development of a coupled land surface and groundwater model for use in watershed management.
Quinn, N.W.T., L.D. Brekke, N.L. Miller, T. Hienzer, H. Hildalgo, and J.A. Dracup, 2004: Model integration for assessing future hydroclimate impacts on water resources, agricultural production, and
environmental quality in the San Joaquin Basin, California. Envir. Modeling and Software, 19, 305-316.
PI William Miller
Yamamoto T, Miller WH, "Path integral evaluation of the quantum instanton rate constant for proton transfer in a polar solvent", Journal of Chemical Physics 122 (4): Art. No. 044106 Jan 22 2005
Vanicek J, Miller WH, Castillo JF, et al., "Quantum-instanton evaluation of the kinetic isotope effects", Journal of Chemical Physics ,123 (5): Art. No. 054108 Aug 1 2005
Predescu C, Miller WH, "Optimal choice of dividing surface for the computation of quantum reaction rates", Journal of Physical Chemistry B 109 (14): 6491-6499 Apr 14 2005
Ceotto M, Yang S, Miller WH, "Quantum reaction rate from higher derivatives of the thermal flux-flux autocorrelation function at time zero". Journal of Chemical Physics, 122 (4): Art. No. 044109 Jan
Li YM, Miller WH, "Different time slices for different degrees of freedom in Feynman path integration", Molecular Physics 103 (2-3): 203-208 Jan-Feb 2005
PI Warren Mori
C. Ren, M. Tzoufras, F. S. Tsung, W. B. Mori, S. Amorini, R. A. Fonseca, L. O. Silva, J. C. Adam, and A. Heron, "Global Simulation for Laser-Driven MeV Electrons in Fast Ignition", Phys. Rev. Lett.,
93, 185004 (2004).
M. S. Wei, S. P. D. Mangles, Z. Najmudin, B. Walton, A. Gopal, M. Tatarakis, A. E. Dangor, E. L. Clark, R. G. Evans, S. Fritzler, R. J. Clarke, C. Hernandez-Gomez, D. Neely, W. Mori, M. Tzoufras, and
K. Krushelnick, "Ion Acceleration by Collisionless Shocks in High-Intensity Laser-Underdense Plasma Interaction", Phys. Rev. Lett., 93, 155003 (2004).
M. J. Hogan, C. D. Barnes, C. E. Clayton, F. J. Decker, S. Deng, P. Emma, C. Huang, R. H. Iverson, D. K. Johnson, C. Joshi, T. Katsouleas, P. Krejcik, W. Lu, K. A. Marsh, W. B. Mori, P. Muggli, C. L.
O’ ???END Connell, E. Oz, R. H. Siemann, and D. Walz, "Multi-GeV Energy Gain in a Plasma-Wakefield Accelerator", Phys. Rev. Lett., 95, 054802 (2005).
S. P. D. Mangles, B. R. Walton, M. Tzoufras, Z. Najmudin, R. J. Clarke, A. E. Dangor, R. G. Evans, S. Fritzler, A. Gopal, C. Hernandez-Gomez, W. B. Mori, W. Rozmus, M. Tatarakis, A. G. R. Thomas, F.
S. Tsung, M. S. Wei, and K. Krushelnick, "Electron Acceleration in Cavitated Channels Formed by a Petawatt Laser in Low-Density Plasma", Phys. Rev. Lett., 94, 245001 (2005).
S. P. D. Mangles et al, "Monoenergetic beams of relativistic electrons from intense laser-plasma interactions", Nature, 431, p. 535 (2004).
F. S. Tsung, R. Narang, W. B. Mori, C. Joshi, R. A. Fonseca, and L. O. Silva, "Near-GeV-Energy Laser- Wakefield Acceleration of Self-Injected Electrons in a Centimeter-Scale Plasma Channel", Phys.
Rev. Lett., 93, 185002 (2004).
C. Ren, M. Tzoufras, F. S. Tsung, W. B. Mori, S. Amorini, R. A. Fonseca, L. O. Silva, J. C. Adam, and A. Heron, "Global Simulation for Laser-Driven MeV Electrons in Fast Ignition", Phys. Rev. Lett.,
93, 185004 (2004).
M. S. Wei, S. P. D. Mangles, Z. Najmudin, B. Walton, A. Gopal, M. Tatarakis, A. E. Dangor, E. L. Clark, R. G. Evans, S. Fritzler, R. J. Clarke, C. Hernandez-Gomez, D. Neely, W. Mori, M. Tzoufras, and
K. Krushelnick, "Ion Acceleration by Collisionless Shocks in High-Intensity Laser-Underdense Plasma Interaction", Phys. Rev. Lett., 93, 155003 (2004).
PI James Morris
M. Krcmar, C. L. Fu and J. R. Morris, 'First-principles Study of Structural and Defect Properties in FeCo Intermetallics," Integrative and Interdisciplinary Aspects of Intermetallics, edited by M.
Mills, 842, S1.4.1 (2004).
Rachel S. Aga, James R. Morris and Mikhail I. Mendelev, "Homogeneous Crystal Nucleation in Undercooled Aluminum," to appear in TMS Letters.
PI Farrokh Najmabadi
A. Grossman, T.Kaiser, P.K.Mioduszeski, "Magnetic Structure at the Edge of a Compact Stellarator (NCSX) Journal of Nuclear Materials 337-339 (2005) 400-404.
P.Mioduszewski, A. Grossman, et al. Journal of Nuclear Materials 313 (2003) 1304.
A.E. Koniges, A. Grossman, et al. Nuclear Fusion 43 (2003) 107.
A.Grossman, "Magnetic Fields at the Scrape-Off Layer of a Compact Stellarator (NCSX)" presented at 16th International Conference on Plasma Surface Interactions in Controlled Fusion Devices, Portland,
USA May 24-28 2004
T.K. Mau, H.McGuiness, A.Grossman, R.Raffray, D. Steiner, "Divertor Heat Load Studies for Compact Stellarator Reactors" to be presented at the 21th Symposium on Fusion Engineering, Knoxville Tenessee
(2005). Paper to be published thereafter.
PI Rick Nebel
"The SEL macroscopic modeling code," A.H. Glasser and X.Z. Tang, Computer Physics Communications; Dec 1 2004; v.164, no.1-3, p.237-243.
"A nonstaggered, conservative, Del .B=0, finite-volume scheme for 3D implicit extended magnetohydrodynamics in curvilinear geometries," L. Chacon, Computer Physics Communications; 15 Nov. 2004;
vol.163, no.3, p.143-71.
"Volume preserving integrators for solenoidal fields on a grid," J.M. Finn and L. Chacon, Physics of Plasmas; May 2005; vol.12, no.5, p.54503-1-4.
"New role of the lower-hybrid drift instability in the magnetic reconnection," Ricci, Paolo; Brackbill, JU; Daughton, W.; Lapenta, Giovanni, Physics of Plasmas; May 2005; v.12, no.5, p.1-7.
"Nonlinear evolution of the lower-hybrid drift instability in a current sheet," Daughton, W; Lapenta, G; Ricci, P, Physical Review Letters; 3 Sept. 2004; vol.93, no.10, p.105004/1-4.
"Force-free magnetic relaxation in driven plasmas," X.Z. Tang and A.H.Boozer, Physical Review Letters 94, 225004 (2005).
"Constrained resonance in magnetic self-organization," X.Z. Tang and A.H. Boozer, Physical Review Letters (in press, 2005).
"Flux amplification in helicity injected spherical tori," X.Z.Tang and A.H.Boozer, Phys. Plasmas 12, 042113 (2005).
"Chandrasekhar-Kendall modes and Taylor relaxation in an axisymmetric torus," X.Z. Tang and A.H. Boozer, Phys. Plasma (in press, 2005).
PI John Negele
The N to Delta electromagnetic transition form-factors from lattice QCD. C. Alexandrou, Ph. de Forcrand, H. Neff, J. W. Negele, W. Schroers, A. Tsapalis Phys.Rev.Lett.94:021601,2005. [hep-lat/
N to Delta electromagnetic transition form-factors from lattice QCD. C. Alexandrou, Ph. de Forcrand, Th. Lippert, H. Neff, J. W. Negele, K. Schilling, W. Schroers, A. Tsapalis
Phys.Rev.D69:114506,2004. [hep-lat/0307018]
Transverse structure of nucleon parton distributions from lattice QCD. Ph. Haegler, J. W. Negele, D. B Renner, W. Schroers, Th. Lippert, and K. Schilling Phys.Rev.Lett.93:112001,2004. [hep-lat/
Confinement from merons. By F. Lenz, J.W. Negele, M. Thies. Phys.Rev.D69:074009,2004. [hep-th/0306105]
Helicity dependent and independent generalized parton distributions of the nucleon in lattice QCD. Ph. Haegler, J. W. Negele, D. B Renner, W. Schroers, Th. Lippert, and K. Schilling
Eur.Phys.J.A24s1:29-33,2005. [hep-ph/0410017]
Hadronic physics with domain-wall valence and improved staggered sea quarks. D. B Renner, W. Schroers, R. Edwards, G. T. Fleming, Ph. Haegler, J. W. Negele, K. Orginos, A.V. Pochinsky, D. Richards
Nucl.Phys.Proc.Suppl.140:255-260,2005. [hep-lat/0409130]
Momentum dependence of the N to Delta transition form-factors. C. Alexandrou, Ph. de Forcrand, H. Neff, J. W. Negele, W. Schroers, A. Tsapalis Nucl.Phys.Proc.Suppl.140:293-295,2005. [hep-lat/0408017]
Insight into nucleon structure from lattice calculations of moments of parton and generalized parton distributions. J.W. Negele, R.C. Brower, P. Dreher, R. Edwards, G. Fleming Ph. Haegler, Th.
Lippert, A.V. Pochinsky, D. B. Renner, D. Richards, K. Schilling, W. Schroers Nucl.Phys.Proc.Suppl.128:170-178,2004. [hep-lat/ 0404005]
A Partially quenched analysis of the eta - eta-prime system in N(f) = 2 QCD. By H. Neff, Th. Lippert, J. Negele, K. Schilling. Nucl.Phys.Proc.Suppl.129:218-220,2004. [hep-lat/0401004]
PI Brian Nelson
Aps Invited Talk Paper: Three-dimensional magnetohydrodynamic simulations of the Helicity Injected Torus with Steady Inductive drive Izzo, V.A. (Univ. of Washington, Seattle, WA, USA); Jarboe, T.R.
Source: Physics of Plasmas, v 12, n 5, May 2005, p 56109-1-8
Initial studies of steady inductive helicity injection on the HIT-SI experiment Sieck, P.E. (Univ. of Washington, Seattle, WA, USA); Hamp, W.T.; Izzo, V.A.; Jarboe, T.R.; Nelson, B.A.; O'Neill, R.G.;
Redd, A.J.; Smith, R.J. Source: IEEE Transactions on Plasma Science, v 33, n 2, pt.2, April 2005, p 723-8
Recent results from the HIT-SI spheromak Sieck, P.E. (Washington Univ., St. Louis, MO, USA); Hamp, W.T.; Izzo, V.A.; Jarboe, T.R.; Nelson, B.A.; O'Neill, R.G.; Redd, A.J.; Smith, R.J. Source: IEEE
Conference Record - Abstracts. 31st IEEE International Conference On Plasma Science (IEEE Cat. No.04CH37537), 2004, p 160
PI Gregory Newman
Commer, M., and Newman, G., 2004, A parallel finite-difference approach for three-dimensional transient electromagnetic modeling with galvanic sources: Geophysics, Soc. of Expl. Geophys., 69,
Newman, G. A., and Boggs, P. T., 2004, Solution accelerators for large-scale three-dimensional electromagnetic inverse problems: Inverse Problems, 20, S151-S170.
Newman, G. A., and Commer, M., 2005, New advances in transient electromagnetic inversion: Geophysical Journal International, 160, 5-32.
Newman, G. A., Hoversten, M., Gasperikova, E., and Wannamaker, P.E., 2005, 3D Magnetotelluric Characterization of the Coso Geothermal Field: Proc. 30th Workshop on Geothermal Reservoir Engineering,
Stanford University, Stanford California, January 31-February 2, SGP- TR-176.
PI Cheuk-Yiu Ng
P. Wang, H. K. Woo, K.-C. Lau, X. Xing, C. Y. Ng, A. Zyubin and A. Mebel J. Chem. Phys. 2005 (submitted). "Infrared vibrational spectroscopy of cis-dichloroethene in Rydberg states."
K.-C. Lau and C. Y. Ng, J. Chem. Phys. 122, 224310 (2005). "Accurate ab initio predictions of ionization energies of hydrocarbon radicals: CH2, CH3, C2H, C2H3, C2H5, C3H3, and C3H5."
J. Yang, Y. Mo, K. C. Lau, Y. Song, X. M. Qian, and C. Y. Ng, Phys. Chem. Chem. Phys. 7, 1518 (2005). "A combined vacuum ultraviolet laser and synchrotron pulsed field ionization study of BCl3."
C. Y. Ng, Journal of Electron Spectroscopy and Related Phenomena (Invited review) 142, 179 (2005). "Two-color photoionization and photoelectron studies by combining infrared and vacuum ultraviolet."
P. Wang, X. Xing, S. J. Baek, and C. Y. Ng, J. Phys. Chem. A (Letter) 108, 10035, (2004). "Rovibrationally selected and resolved pulsed field ionization-photoelectron study of ethylene."
A. Brooks, K.-C. Lau, C. Y. Ng, and T. Baer, Eur. J. Mass. Spectro. 10, 819 (2004). "The C3H7 appearance energy from 2-iodopropane and 2-chloropropane studied by threshold photoelectron photoion
P. Wang, X. Xing, K.-C. Lau, H. K. Woo, C. Y. Ng, J. Chem. Phys.(communications) 121, 7049 (2004). "Rovibrational-state-selected pulsed field ionization-photoelectron study of methyl iodide using
two-color infrared-vacuum ultraviolet lasers."
M. Hochlaf, T. Baer, X. M. Qian, and C. Y. Ng, J. Chem. Phys. 123, in press (2005). "A Photoionization and Pulsed Field Ionization-Photoelectron Study of Cyanogen."
M.-K. Bahng, X. Xing, S. J. Baek, and C. Y. Ng, J. Chem. Phys. 123, 084133 (2005). "A two-color infrared-vacuum ultraviolet laser pulsed field ionization photoelectron study of NH3."
X. N. Tang, Y. Hou, C. Y. Ng, and B. Ruscic, J. Chem. Phys. 123, 074330(2005). "Pulsed field ionization photoelectron-photoion coincidence study of the process N2 plus hv -> 2N and e-: Bond
Dissociation Energies of N2 and N2 cation."
T.-S. Chu, R.-F. Lu, K.-L. Han, X.-N. Tang, H.-F. Xu, and C. Y. Ng, J. Chem. Phys. 122, 244322 (2005). "A time-dependent wave-packet quantum scattering study of the reaction H2 (v=0-2,4,6;j=1) and He
-> HeH and H."
X. N. Tang, H. F. Xu, T. Zhang, Y. Hou, C. Chang, C. Y. Ng, Y. Chiu, R. A. Dressler, and D. J. Levandier, J. Chem. Phys. 122, 164301 (2005). "A pulsed-field ionization photoelectron secondary ion
coincidence study of the H2(X,v=0--15,N=1) plus He proton transfer reaction."
PI Esmond Ng
Timothy A. Davis, John R. Gilbert, Stefan I. Larimore, and Esmond G. Ng, "A column approximate minimum degree ordering algorithm". ACM Trans. Math. Software 30 (2004), pp. 353-376.
Timothy A. Davis, John R. Gilbert, Stefan Larimore, and Esmond G. Ng. "Algorithm 836: COLAMD, a column approximate minimum degree ordering algorithm". ACM Trans. Math. Software 30 (2004), pp.
L. Grigori and X. S. Li. "Performance Analysis of Parallel Right-looking Sparse LU Factorization on Two-dimensional Grids of Processors". To appear in Proceedings of the PARA04 Workshop on
State-of-the art in Scientific Computing, Springer Lecture Notes in Computer Science.
Xiaoye S. Li. "An Overview of SuperLU: Algorithms, Implementation, and User Interface". ACM Trans. on Math. Software, Vol. 31, No. 3, 2005.
Chao Yang, Esmond G. Ng, and Pawel A. Penczek. "Matrix-free Constructions of Circulant and Block Circulant Preconditioners". Numerical Linear Algebra and Applications 11 (2004), pp. 773-793.
Chao Yang, Esmond G. Ng, and Pawel A. Penczek, "Unified 3-D Structural and Projection Orientation Refinement Using Quasi-Newton Algorithm". J. Structural Biology 149 (2005), pp. 53-64.
Chao Yang, Weiguo Gao, Zhaojun Bai, Xiaoye S. Li, Lie-Quan Lee, Parry Husbands, and Esmond G. Ng, "An Algebraic Sub-structuring Algorithm for Large-scale Eigenvalue Calculation". To appear in SIAM J.
Sci. Comput., 2005.
Chao Yang, Weiguo Gao, Zhaojun Bai, Xiaoye Li, Lie-Quan Lee, Parry Husbands, and Esmond G. Ng. "Algebraic Sub-structuring for Electromagnetic Applications". To appear in Proceedings of the PARA04
Workshop on State-of-the-art in Scientific Computing (as Lecture Notes in Computer Science), Springer, 2005.
Padma Raghavan, Ingyu Lee, and Esmond G. Ng. "Effective Preconditioning Through Ordering Interleaved With Incomplete Factorization". Submitted to SIAM J. Matrix Anal. Appls. (LBNL-58671)
Weiguo Gao, Xiaoye S. Li, Chao Yang, and Zhaojun Bai. "Performance Evaluation of a Multilevel Sub-structuring Method for Sparse Eigenvalue Problems". To appear in Proceedings of the 16th
International Conference on Domain Decomposition Methods, Springer Lectures Notes in Computational Science and Engineering.
PI Arthur Nozik
C. Engtrakul, J.M. Nedeljkovic, Yong-Hyun Kim, S.P. Ahrenkiel, K.E.H. Gilbert, J.L. Alleman, S.B. Zhang, O.I. Micic, A.J. Nozik, and M.J. Heben, Self-Organization of Semiconductor Quantum
Nanocrystals on Carbon Single-Wall Nanotubes into Close-Packed Linear Arrays, in Functional Carbon Nanotubes, edited by D.L. Carroll, B. Weisman, S. Roth, and A. Rubio (Mater. Res. Soc. Symp. Proc.
858E, Warrendale, PA , 2005), HH12.6.
Yong-Hyun Kim, M. J. Heben, and S. B. Zhang, First-Principles Band Offsets of Carbon Nanotubes with III-V Semiconductors, Proceedings of the 27th International Conference on the Physics of
Semiconductors (Flagstaff, 2004), AIP Conference Proceedings 772, 1031 (2005).
Yufeng Zhao, Yong-Hyun Kim, Mao-Hua Du, and S. B. Zhang, Icosahedral Quantum Dots and 2D Quasicrystals for Group IV Semiconductors, Proceedings of the 27th International Conference on the Physics of
Semiconductors (Flagstaff, 2004), AIP Conference Proceedings 772, 625 (2005).
Jun Feng, Shi-You Ding, Melvin P. Tucker, Michael E. Himmel, Yong-Hyun Kim, S. B. Zhang, Brian M. Keyes, and Garry Rumbles, Cyclodextrin driven hydrophobic/hydrophilic transformation of semiconductor
nanoparticles, Appl. Phys. Lett. 86, 033108 (2005).
Yufeng Zhao, Yong-Hyun Kim, A.C. Dillon, M.J. Heben, and S.B. Zhang, Hydrogen storage in novel organometallic buckyballs, Phys. Rev. Lett. 94, 155504 (2005).
PI Peter Nugent
"Could There Be a Hole in Type Ia Supernovae?; " Kasen, D., P. Nugent, R. C. Thomas, & L. Wang Astrophysical Journal, vol:610, 2004.
"Type IIP Supernovae as Cosmological Probes: A Spectral-fitting Expanding Atmosphere Model Distance to SN 1999em; " Baron, E., P. E. Nugent, D. Branch, & P. H. Hauschildt Astrophysical Journal,
vol:616, 2004.
"Discovery of a Transient U-Band Dropout in a Lyman Break Survey: A Tidally Disrupted Star at z=3.3?; " Stern, D., P. G. van Dokkum, P. Nugent, D. J. Sand, R. S. Ellis, M. Sullivan, J. S. Bloom, D.
A. Frail, J.-P. Kneib, L. V. E. Koopmans, & T. Treu Astrophysical Journal, vol:612, 2004.
"A Definitive Measurement of Time Dilation in the Spectral Evolution of the Moderate-Redshift Type Ia Supernova 1997ex; " Foley, R. J., A. V. Filippenko, D. C. Leonard, A. G. Riess, P. Nugent, & S.
Perlmutter Astrophysical Journal, vol:626, 2005.
"GRB 020410: A Gamma-Ray Burst Afterglow Discovered by Its Supernova Light; " Levan, A., P. Nugent, A. Fruchter, I. Burud, D. Branch, J. Rhoads, A. Castro-Tirado, J. Gorosabel, J. M. C. Cer�n, S. E.
Thorsett, C. Kouveliotou, S. Golenetskii, J. Fynbo, P. Garnavich, S. Holland, J. Hjorth, P. M�ller, E. Pian, N. Tanvir, M. Ulanov, R. Wijers, & S. Woosley Astrophysical Journal, vol:624, 2005.
"Restframe I-band Hubble diagram for type Ia supernovae up to redshift z ~ 0.5;" Nobili, S., R. Amanullah, G. Garavini, A. Goobar, C. Lidman, V. Stanishev, G. Aldering, P. Antilogus, P. Astier, M. S.
Burns, A. Conley, S. E. Deustua, R. Ellis, S. Fabbro, V. Fadeyev, G. Folatelli, R. Gibbons, G. Goldhaber, D. E. Groom, I. Hook, D. A. Howell, A. G. Kim, R. A. Knop, P. E. Nugent, R. Pain, S.
Perlmutter, R. Quimby, J. Raux, N. Regnault, P. Ruiz-Lapuente, G. Sainton, K. Schahmaneche, E. Smith, A. L. Spadafora, R. C. Thomas, L. Wang, & The Supernova Cosmology Project Astronomy and
Astrophysics, vol:437, 2005.
"Spectroscopic confirmation of high-redshift supernovae with the ESO VLT.;" Lidman, C., D. A. Howell, G. Folatelli, G. Garavini, S. Nobili, G. Aldering, R. Amanullah, P. Antilogus, P. Astier, G.
Blanc, M. S. Burns, A. Conley, S. E. Deustua, M. Doi, R. Ellis, S. Fabbro, V. Fadeyev, R. Gibbons, G. Goldhaber, A. Goobar, D. E. Groom, I. Hook, N. Kashikawa, A. G. Kim, R. A. Knop, B. C. Lee, J.
Mendez, T. Morokuma, K. Motohara, P. E. Nugent, R. Pain, S. Perlmutter, V. Prasad, R. Quimby, J. Raux, N. Regnault, P. Ruiz-Lapuente, G. Sainton, B. E. Schaefer, K. Schahmaneche, E. Smith, A. L.
Spadafora, V. Stanishev, N. A. Walton, L. Wang, W. M. Wood-Vasey, & N. Yasuda (The Supernova Cosmology Project) Astronomy and Astrophysics, vol:430, 2005.
"A possible bright blue supernova in the afterglow of GRB 020305;" Gorosabel, J., J. P. U. Fynbo, A. Fruchter, A. Levan, J. Hjorth, P. Nugent, A. J. Castro-Tirado, J. M. Castro Cer�n, J. Rhoads, D.
Bersier, & I. Burud Astronomy and Astrophysics, vol:437, 2005.
"Spectroscopic Observations and Analysis of the Peculiar SN 1999aa;" Garavini, G., G. Folatelli, A. Goobar, S. Nobili, G. Aldering, A. Amadon, R. Amanullah, P. Astier, C. Balland, G. Blanc, M. S.
Burns, A. Conley, T. Dahl�n, S. E. Deustua, R. Ellis, S. Fabbro, X. Fan, B. Frye, E. L. Gates, R. Gibbons, G. Goldhaber, B. Goldman, D. E. Groom, J. Haissinski, D. Hardin, I. M. Hook, D. A. Howell,
D. Kasen, S. Kent, A. G. Kim, R. A. Knop, B. C. Lee, C. Lidman, J. Mendez, G. J. Miller, M. Moniez, A. Mour�o, H. Newberg, P. E. Nugent, R. Pain, O. Perdereau, S. Perlmutter, V. Prasad, R. Quimby, J.
Raux, N. Regnault, J. Rich, G. T. Richards, P. Ruiz-Lapuente, G. Sainton, B. E. Schaefer, K. Schahmaneche, E. Smith, A. L. Spadafora, V. Stanishev, N. A. Walton, L. Wang, & W. M. Wood-Vasey
Astronomical Journal, vol:128, 2004.
LBNL-58336 "UV Spectroscopy of Type Ia Supernovae at Low- and High-Redshift;" Nugent, P., in 1604-2004: Supernova as Cosmological Lighthouses, Padua, Italy, ASP Conference Series, 2005.
PI Volker Oberacker
"Time-dependent response calculations of nuclear resonances," A.S. Umar and V.E. Oberacker, Phys. Rev. C71, 034314 (2005)
"Coordinate space Hartree-Fock-Bogoliubov calculations for the zirconium isotope chain up to the two-neutron dripline", A. Blazkiewicz, V.E. Oberacker, A.S. Umar, and M. Stoitsov, Phys. Rev. C71,
054321 (2005)
"TDHF studies with Modern Skyrme forces", A.S. Umar and V.E. Oberacker, Eur. Phys. J. A24, May 2005
"2-D Lattice HFB Calculations for Neutron-Rich Zirconium Isotopes", A. Blazkiewicz, V.E. Oberacker, and A.S. Umar, Eur. Phys. J. A24, May 2005
"HFB Calculations for Nuclei far from Stability", A.S. Umar, V.E. Oberacker, E. Teran, and A. Blazkiewicz, book chapter in ``Structure and Dynamics of Elementary Matter", ed. W. Greiner et al.;
Kluwer Academic Publishers (2004), p. 561-567
"Solution of the HFB continuum problem on a 2-D lattice: neutron-rich and dripline nuclei", V.E. Oberacker, A.S. Umar, A. Blazkiewicz and E. Teran, book chapter in ``A New Era of Nuclear Structure
Physics", ed. Y. Suzuki, S. Ohya, M. Matsuo & T. Ohtsubo, World Scientific (2004), pp.179-183
PI Joseph Oefelein
J. C. Oefelein. Mixing and Combustion of Cryogenic LOX-H2 Shear-Coaxial Jet Flames at Supercritical Pressure (Invited). Combustion Science and Technology, accepted May 2005.
J. C. Oefelein, R. W. Schefer and R. S. Barlow. Toward Validation of LES for Turbulent Combustion (Invited). AIAA J, accepted May 2005.
J. C. Oefelein. Thermophysical Characteristics of Shear-Coaxial LOXH2 Flames at Supercritical Pressure. Proc. Combust. Inst., 30, 2929�7, 2005.
S. V. Apte, K. Mahesh, P. Moin, and J. C. Oefelein. Large eddy simulation of swirling particle-laden flows in a coaxial-jet combustor. International Journal of Multiphase Flow, 29 (8): 1311�1, 2003.
PI Doug Olson
"Experimental and Theoretical Challenges in the Search for the Quark Gluon Plasma: The STAR Collaboration's Critical Assessment of the Evidence from RHIC Collisions", STAR Collaboration (J. Adams et
al.), Nucl. Phys. A 757, 102 (2005). e-Print Archives (nucl-ex/0501009)
"Cross Sections and transverse single-spin asymmetries in forward neutral pion asymmetries from proton collisions at sqrt(s) = 200 GeV", STAR: J. Adams et al. Phys. Rev. Lett. 92: 171801 (2004)
"Measurements of transverse energy distributions in Au Au collisions at sqrt(sNN) = 200 GeV", STAR Collaboration, Phys. Rev. C 70, 054907 (2004). e-Print Archives (nucl-ex/0407003)
"Pseudorapidity Asymmetry and Centrality Dependence of Charged Hadron Spectra in d Au Collisions at sqrt(sNN) = 200 GeV", STAR Collaboration (J. Adams et al.), Phys. Rev. C 70, 064907 (2004). e-Print
Archives (nucl-ex/0408016)
"Azimuthal anisotropy and correlations at large transverse momenta in p p and Au Au collisions at sqrt(sNN)= 200 GeV", STAR Collaboration (J. Adams et al.), Phys. Rev. Lett. 93 (2004) 252301. e-Print
Archives (nucl-ex/0407007)
"Transverse Momentum Correlations and Minijet Dissipation in Au-Au Collisions at sqrt(sNN) = 130 GeV" (2004), e-Print Archives (nucl-ex/0408012)
"Pion, Kaon, Proton, and Anti-Proton Transverse Momentum Distributions from p p and d Au Collisions at S(NN)**1/2 = 200-GeV", STAR Collaboration (J. Adams et al.), Phys. Lett. B 616, 8 (2005) .
e-Print Archive: nucl-ex/0309012
"Phi meson production in Au Au and p p collisions at sqrt(s)=200 GeV", STAR Collaboration (J. Adams et al.), Phys. Lett. B 612, 181 (2005). e-Print Archives (nucl-ex/0406003)
"Transverse-momentum dependent modification of dynamic texture in central Au Au collisions at sqrt(sNN) = 200 GeV", STAR Collaboration (J. Adams et al.) , Phys. Rev. C 71, 031901(R) (2005). e-Print
Archives (nucl-ex/0407001)
"Pion interferometry in Au Au collisions at sqrt(sNN) = 200 GeV", STAR Collaboration (J. Adams et al.), Phys. Rev. C 71, 044906 (2005). e-Print Archives (nucl-ex/0411036)
"Open charm yields in d+Au collisions at sqrt(sNN) = 200 GeV", STAR Collaboration ( J. Adams et al.), Phys. Rev. Lett. 94, 062301 (2005). e-Print Archives (nucl-ex/0407006).
"K(892)* Resonance Production in Au+Au and p+p Collisions at sqrt(sNN) = 200 GeV at STAR", STAR Collaboration (J. Adams et al.), Phys. Rev. C 71, 064902 (2005). e-Print Archives (nucl-ex/0412019),
"Experimental and Theoretical Challenges in the Search for the Quark Gluon Plasma: The STAR Collaboration's Critical Assessment of the Evidence from RHIC Collisions", STAR Collaboration (J. Adams et
al.), Nucl. Phys. A 757, 102 (2005). e-Print Archives (nucl-ex/0501009).
"Multiplicity and Pseudorapidity Distributions of Photons in Au + Au Collisions at sqrt(sNN) = 62.4 GeV" (2005).
PI Ian Parrish
Ian J. Parrish and James M. Stone, "Nonlinear Evolution of the Magnetothermal Instability in Two Dimensions." Accepted to Astrophysical Journal. Preprint on the web as astro-ph/0507212.
PI Joyce Penner
Liu, X., J.E.Penner, J.E., and M. Herzog, 2005: Global modeling of aerosol dynamics: Model description, evaluation and interactions between sulfate and non-sulfate aerosols, J. Geophys. Res., in
PI Saul Perlmutter
"New Spectra of High Redshift Type Ia Supernovae and a Comparison with their Low Redshift Counterparts" I. Hook, et al., Accepted for publication in the Astronomical Journal.
"Measurement of Omega_M, Omega_Lambda from an analysis of Type Ia SNe with CMAGIC", A. Conley, et al., Submitted for publication in the Astrophysical Journal.
"Search for spectral evolution in high-redshift Type Ia supernovae: evidence for SN 1991T/SN 1999aa- like object at z=0.279", G. Garavini, et al., Submitted for publication in the Astronomical
"Spectral Signatures of Gravitationally Confined Thermonuclear Supernova Explosions" Kasen, Daniel; Plewa, Tomasz. The Astrophysical Journal, Volume 622, Issue 1, pp. L41-L44.
"Theoretical uncertainty in baryon oscillations," Eisenstein, Daniel; White, Martin. Physical Review D, vol. 70, Issue 10, id. 103523
"Baryons and weak lensing power spectra," White, Martin. Astroparticle Physics, Volume 22, Issue 2, p. 211-217.
"Is dark energy dynamical? Prospects for an answer" Linder, Eric V.; Miquel, Ramon Physical Review D, vol. 70, Issue 12, id. 123516
"Observing Dark Energy with SNAP" Linder, E. V.; For The Snap Collaboration Observing Dark Energy, ASP Conference Series, Vol. 339, Edited by Sidney C. Wolff and Tod R. Lauer. San Francisco:
Astronomical Society of the Pacific, 2005., p.87
PI Peter Petreczky
T. Blum, P. Petreczky, Nucl. Phys. B (Proc. Suppl.) 140 (2005) 553.
PI Franz-Josef Pfreundt
"Integrated Performance Analysis of Computer Systems (IPACS)", G. Falcone et al, Praxis der Informationsverarbeitung und Kommunikation, PIK3-05 154-163
PI Steven Pieper
Quantum Monte Carlo calculations of excited states in A=6-8 nuclei, Steven C. Pieper, R. B. Wiringa, and J. Carlson, Phys. Rev. C 70, 054325-1:11 (2004).
Quantum Monte Carlo Calculations of Light Nuclei, S. C. Pieper, Nucl. Phys. 751, 516c-532c (2005).
Neutron Spectroscopic Factors in ^9Li from ^2H(^8Li,$p$)^9Li, A. H. Wuosmaa, K. E. Rehm, J. P. Greene, D. J. Henderson, R. V. F. Janssens, C. L. Jiang, L. Jisonna, E. F. Moore, R. C. Pardo, M. Paul,
D. Peterson, Steven C. Pieper, G. Savard, J. P. Schiffer, R. E. Segel, S. Sinha, X. Tang, and R. B. Wiringa, Phys. Rev. Lett. 94, 082502-1:4 (2005).
PI Ali Pinar
Vaibhav Donde, Vanessa Lspez, Bernard Lesieutre, Ali Pinar, Chao Yang, and Juan Meza, "Identification of Severe Multiple Contingencies in Electric Power Networks," Proceedings of the North American
Power Symposium, Ames Iowa, 2005.
PI Michael Pindzola
Lattice calculations of the photoionization of lithium, J P Colgan, F J Robicheaux, and M S Pindzola, Phys. Rev. Letts. 93, 053201 (July 2004).
Time-dependent close-coupling theory for e H elastic and inelastic scattering, M C Witthoeft, S D Loch, and M S Pindzola, Phys. Rev. A 70, 022711 (August 2004).
Electron-impact single and double ionization of helium, M S Pindzola, F J Robicheaux, J P Colgan, M C Witthoeft, and J A Ludlow, Phys. Rev. A 70, 032705 (Sept 2004).
Simulation of coherent interactions between Rydberg atoms, F J Robicheaux, J V Hernandez, T Topcu, and L D Noordam, Phys. Rev. A 70, 042703 (Oct 2004).
Time-dependent close-coupling calculations for the double photoionization of He and H2, J P Colgan, M S Pindzola, and F J Robicheaux, J. Phys. B 37, L377 (Dec 2004).
Electron-impact excitation of Xe 26 and its resultant spectral signature, N R Badnell, K A Berrington, H P Summers, M G O'Mullane, A D Whiteford, and C P Ballance, J. Phys. B 37, 4589 (Dec 2004).
Electron-impact ionization of metastable neon, C P Ballance, D C Griffin, J A Ludlow, and M S Pindzola, J. Phys. B 37, 4779 (Dec 2004).
The validity of classical and perturbative quantal methods for electron-impact ionization from excited states in H-like ions, D C Griffin, C P Ballance, M S Pindzola, F J Robicheaux, S D Loch, J A
Ludlow, M C Witthoeft, J P Colgan, C J Fontes, and D R Schultz, J. Phys. B 38, L199 (June 2005).
The agreement of Breit-Pauli and Dirac R-matrix collision strengths for iron peak elements: an Fe 14 case study, K A Berrington, C P Ballance, D C Griffin, and N R Badnell, J. Phys. B 38, 1667 (June
Continuum-coupling in electron-atom scattering, C P Ballance, D C Griffin, N R Badnell, S D Loch, and M S Pindzola, in "Atomic Processes in Plasmas", eds. J S Cohen, S Mazevet, D P Kilcrease, (AIP,
New York, 2004).
Multiple photoionization of atoms and ions using the time-dependent close-coupling method, U Kleiman, J P Colgan, M S Pindzola, and F J Robicheaux, in "Electron and Photon Impact Ionization and
Related Topics", ed. B Piraux, (IOP, Bristol, 2005).
PI Tomasz Plewa
Kasen, D. & Plewa, T. 2005, ApJ, 622, 41
Kasen, D., Nugent, P., Thomas, R.C., & Wang, L. 2004, ApJ, 610, 876
Kasen, D., Nugent, P., Wang, L. et al. 2003, ApJ, 593, 788
PI Wilfred Post
Johnston, C.A., P. Groffman, D.D. Breshears, Z.G. Cardon, W. Currie, W. Emanuel, J. Gaudinski, R.B. Jackson, K. Lajtha, K. Nadelhoffer, D. Nelson Jr., W.M. Post, G. Retallack, L. Wielopolski 2004.
Carbon cycling in soil. Frontiers in Ecology and the Environment 2:522-528.
Post, W.M. and A.W. King (in press). Climate Change and Terrestrial Ecosystem Production. IN R. Lal, ed. Global Climate Change and Food Security, CRC Press.
Post, W. M., E. M.Hanlon, and C. T. Garten Jr. (submitted). Elevated CO2 Effects on Soil C Dynamics in a Sweetgum Plantation. Global Change Biology.
Gu, L., W. M. Post, and A. W. King 2004. Fast labile carbon turnover obscures sensitivity of heterotrophic respiration from soil to temperature: A model analysis, Global Biogeochem. Cycles, 18,
GB1022, doi:10.1029/2003GB002119.
Kittel, T. G. F., N. A. Rosenbloom, J. A. Royle, C. Daly, W. P. Gibson, H. H. Fisher, P. Thornton, D. N. Yates, S. Alenbach, C. Kaufman, R. McKeown, D. Batchelet, D. S. Schimel, and VEMAP2
Participants. 2004. The VEMAP Phase 2 bioclimatic database I: A gridded historical (20th Century) climate dataset for modeling ecosystem dynamics across the conterminous United States. Climate
Research 27:151-170.
Paustian, K., B. Babcock, L. Chimenti, W. Post, N. Rosenberg, W. Schlesinger, P. Robertson, J. Hatfield, C. Rosenzweig, C. Rice, B. McCarl, R. Lal, C. Kling, A. Mosier, S. McLaughlin, D. Zilberman
2004. Agriculture's Response to Global Climate Change. Report No. 138, Council for Agricultural Science and Technology, Ames, IA.
Ranatunga K., S. D. Wullschleger, W. M. Post, R. Keenan and M. L. Tharp (submitted). Aboveground biomass and soil carbon stocks as influenced by harvest management practices in New South Wales,
Australia: Simulations with the forest succession model LINKAGES. Australian Journal of Forestry.
Luxmoore, R. J., M. L. Tharp, and W. M. Post (submitted). Simulated nitrogen fertilization and temperature effects on biomass and soil carbon of loblolly pine and cottonwood plantations in the
Southeastern United States. Forest Ecology and Management.
Blasing, T. J., C. T. Broniak, and G. Marland. The annual cycle of fossil-fuel carbon dioxide emissions in the USA, Tellus, in press.
Blasing, T.J., C. T. Broniak and G. Marland. State-by-state carbon dioxide emissions from fossil fuel use in the United States 1960-2000, Environmental Science and Policy, in press.
PI Gerald Potter
Evaluating parameterizations in general circulation models: Climate simulation meets weather prediction by Phillips et al., 2004: Bulletin of the American Meteorological Society, 85, 1903 -1915.
Impact of a revised convective triggering mechanism on Community Atmosphere Model, Version 2, simulations: Results from short-range weather forecasts by Xie et al. : Journal of Geophysical Research,
109, D14102, doi:10.1029/2004JD004692, 2004.
Simulations of midlatitude frontal clouds by single-column and cloud-resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period by Xie et al. :
Journal of Geophysical Research, 110, D15503, doi: 10.1029/2004JD005119, 2005.
Diagnosis of Community Atmospheric Model 2 (CAM2) in numerical weather forecast configuration at Atmospheric Radiation Measurement sites by Boyle et al.: Journal of Geophysical Research, 110, D15516,
doi: 10.1029/2004JD005109, 2005.
Moisture and temperature balances at the Atmospheric Radiation Measurement Southern Great Plains Site in forecasts with the Community Atmosphere Model (CAM2) by Williamson et al. : Journal of
Geophysical Research, 110, D15516, doi: 10.1029/2004JD005109, 2005.
PI Joel Primack
"The Dark Side of the Halo Occupation Distribution", Andrey V. Kravtsov, Andreas A. Berlind, Risa H. Wechsler, Anatoly A. Klypin, Stefan Gottloeber, Brandon Allgood, and Joel R. Primack 2004,
Astrophys.J., 609, 35-45
"Modeling Galaxy-Mass Correlations in Dissipationless Simulations", Tasitsiomi, A., Kravtsov, A., Wechsler, R. H. & Primack, J., 2004, Astrophys.J., 614, 533-546
"The Physics of Galaxy Clustering I: A Model for Subhalo Populations", Andrew R. Zentner, Andreas A. Berlind, James S. Bullock, Andrey V. Kravtsov & Risa H. Wechsler 2005, Astrophys.J., 624, 505-525
"Simulations of Dust in Interacting Galaxies. I. Dust Attenuation", Jonsson, Patrik Jonsson, T. J. Cox, Joel R. Primack & Rachel S. Somerville 2005, Astrophys.J., in press [astro-ph/0503135]
"The Effects of Feedback in Simulations of Disk-Galaxy Major Mergers", T.J. Cox, Patrik Jonsson, Joel R. Primack & Rachel S. Somerville, 2005, Astrophys.J., submitted [astro-ph/0503201]
"Phase-Space Structure of Dark-Matter Haloes: Scale-Invariant PDF Driven by Substructure", I. Arad, A. Dekel, A. Klypin 2004, Mon.Not.Roy.Astron.Soc. 353, 15-29
"Impact of Dark Matter Substructure on the Matter and Weak Lensing Power Spectra" Bradley Hagan, Chung-Pei Ma, Andrey V. Kravtsov 2005, Astrophys.J., in press [astro-ph/0504557]
PI Bala Radhakrishnan
Jaramillo RA, Babu SS, Ludtka GM, Kisner RA, Wilgen JB, Mackiewicz-Ludtka G, Nicholson DM, Kelly SM, Muruaananth M, Bhadeshia HKDH "Effect of 30 T magnetic field on transfomations in a novel bainitic
steel," Scripta Materialia 52 (6): 461-466 MAR 2005
Nicholson DMC, Fuentes-Cabrera M, Widom M, Wang Y, Mihalkovic M, "Electronic Structure Based Approaches to Metallic Glass Stability," The Science of Complex Phases 183 (2005) Ed. Massalski and Turchi
(TMS Warrendale PA).
Radhakrishnan B, Sarma GB, "Simulating the interaction between a straight boundary and a particle," Materials Science Forum 467-470: 1105-1110 Part 1-2 2004
Sarma GB, Radhakrishnan B, "Modeling microstructural effects on the evolution of cube texture during hot deformation of aluminum," Materials Science And Engineering A-Structural Materials Properties
Microstructure And Processing 385 (1-2): 91-104, 2004
Radhakrishnan B, Sarma G, "The effect of coarse non-deformable particles on the deformation and static recrystallization of aluminium alloys," Philosophical Magazine 84 (22): 2341-2366, 2004
Radhakrishnan B, Sarma G, "Simulating the deformation and recrystallization of aluminum bicrystals," JOM 56 (4): 55-62 APR 2004
PI Abhay Ram
D. R. Ernst, "Role of Trapped Electron Mode Turbulence in Internal Transport Barrier Control in Alcator C-Mod," Phys. Plasmas 11(5) 2637 (2004). APS 2003 Invited Paper UI1.5.
C L Fiore, P T Bonoli, D R Ernst, M J Greenwald, E S Marmar, M H Redi, J E Rice, S J Wukitch and K Zhurovich, "Internal transport barrier production and control in Alcator C-Mod," Plasma Phys.
Control. Fusion 46 B281-B291. EPS Invited Oral 2004.
N. P. Basse et al., "Characterization of core and edge turbulence in L- and enhanced D-alpha H-mode Alcator C-mod plasmas," Physics of Plasmas, 12(5) May 2005, p 52512-1-14.
C. L. Fiore et al., "Control of internal transport barriers on Alcator C-mod," Physics of Plasmas 11(5), May 2004, p 2480-7.
J. C. Wright, L. A. Berry, D. B. Batchelor P. T. Bonoli, E. F. Jaeger, E. D Azevedo M. D. Carter, C. K. Phillips, R. W. Harvey H. Okuda, D. N. Smithe, D. A. D Ippolito J. R. Myra, M. Brambilla, and
R. J. Dumont, ``Nonthermal particle and full-wave diffraction effects on heating and current drive in the ICRF and LHRF regimes,'' Nucl. Fusion, 45(9), September 2005.
Y. Lin, S. J.Wukitch, A. Parisot, J. C. Wright, N. Basse, P. Bonoli, E. Edlund, L. Lin, M. Porkolab, S.Wolfe, G. Schilling, and P. Phillips, ``Ion cyclotron range of frequencies wave phenomena in the
mode conversion region in Alcator C-Mod,'' Plasma Phys. Controlled Fusion, 47(-1):0, 2005.
J. C. Wright, P. T. Bonoli, M. Brambilla, E. Azevedo, L. A. Berry, D. B. Batchelor, E. F. Jaeger, M. D. Carter, C. K. Phillips, H. Okuda, R. .W. Harvey, J. R.Myra, D. A. D Ippolito, and D. N. Smithe,
``Full-wave electromagnetic field simulations of lower hybrid waves in tokamaks,'' In P. Bonoli and S. Wukitch, editors, 16th Topical Conference on Radio Frequency Power in Plasmas and, number to be
published, page 1, New York, 2005. American Institute of Physics.
PI David Randall
Cole, J. N., H. W. Barker, D. A. Randall, M. F. Khairoutdinov, and E. Clothiaux, 2005: Interactions between Clouds and Radiation at Scales Unresolved by Global Climate Models. Geophys. Res. Lett.,
32, L06703, doi: 10.1029/2004GL020945.
Cole, J. N. S., H. W. Barker, W. Oirok, E. E. Clothiaux, M. F. Khairoutdinov, and D. A. Randall, 2005: Atmopsheric radiative transfer through global arrays of 2D clouds. Submitted to Geophys. Res.
Lett. (in press).
Khairoutdinov, M., D. A. Randall, and C. DeMott, 2005: Simulation of the atmospheric general circulation using a cloud-resolving model as a super-parameteriztion of physical processes. J. Atmos. Sci.
, 62, 2136-2154.
PI Lawrence Rauchwerger
N. Thomas, G. Tanase, O. Tkachyshyn, J. Perdue, N.M. Amato, L. Rauchwerger, ``A Framework for Adaptive Algorithm Selection in STAPL'', in Proc. of ACM SIGPLAN Symposium on Principles and Practice of
Parallel Programming (PPOPP), Chicago, IL, June, 2005.
Shawna Thomas, Gabriel Tanase, Lucia K. Dale, Jose E. Moreira, Lawrence Rauchwerger, Nancy M. Amato, ``Parallel Protein Folding with STAPL,'' special issue of extended papers from the Third IEEE
International Workshop On High Performance Computational Biology (HiCOMB 2004), Concurrency and Computation: Practice and Experience, accepted December 2004, to appear.
PI John Rehr
"Combined BSE/TDDFT approach for x-ray absorption calculations," A. L. Ankudinov, Y. Takimoto, and J.J. Rehr, Phys. Rev. B 71, 165110 (2005).
"Final-state rule vs the Bethe-Salpeter equation for deep-core x-ray absorption spectra," J.J. Rehr, J. A. Soininen, and E. L. Shirley, Physica Scripta T115, 207 (2005).
"Modeling Core-Hole Screening in Core-Execitation Spectroscopies," E. L. Shirley, J. A. Soininen, and J. J. Rehr, Physica Scripta, T115, 31 (2005).
"First-principles ultraviolet and x-ray spectra over broad ranges," E. L. Shirley, J. A. Soininen, and J. J. Rehr, in Optical Constants of Materials for UV to X-Ray Wavelengths, edited by R. Soufli
and J.F. Seely, SPIE Proceedings, Vol. 5538, pp. 125-127 (SPIE, Bellingham, WA, 2004).
"Multi-pole Representation of the Dielectric Matrix," J. A. Soininen, J. J. Rehr and E. L. Shirley, Physica Scripta T115, 243 (2005).
"Nonspherical potential, vibronic, and local field effects in x-ray absorption," A. L. Ankudinov and J. J. Rehr, Physica Scripta T115, 24 (2005).
"Inelastic Scattering from Core-electrons: a Multiple Scattering Approach," J.A. Soininen, A.L. Ankudinov, and J.J. Rehr, Phys. Rev. B 72, 045136 (2005).
PI Edward Rezayi
Universality of the Edge-Tunneling Exponent of Fractional Quantum Hall Liquids, X. Wan, F. Evers, and E.H. Rezayi, Physical Review Letters 94, 16684 (2005).
Mobility gap in fractional quantum Hall liquids: Effects of disorder and layer thickness, X. Wan, D.N Sheng, E.H. Rezayi, Kun Yang, R.N. Bhatt, and F.D.M. Haldane, Physical Review B 72, 075325 (12
pages), (2005).
Incompressible state of rapidly-rotating bosons at filling factor 3/2, E. H. Rezayi, N. Read, and N. R. Cooper, Physical Review Letters, in production.
PI Tony Rollett
J. J. Hoyt, M. Asta and D. Y. Sun, "Molecular Dynamics Simulations of the Crystal-Melt Interfacial Free Energy of and Mobility in Mo and V," Phil. Mag. (in press).
E. A. Marquis, M. Asta, D. N. Seidman and C. Woodward, "Composition Evolution of Nanoscale Al3Sc Precpitates in an Al-Mg-Sc Alloy," Acta Materialia (in press).
J. J. Hoyt, M. Asta, T. Haxhimali, A. Karma, R. E. Napolitano, R. Trivedi, B. B. Laird and J. R. Morris, "Crystal-Melt Interfaces and Solidification Morphologies in Metals and Alloys," MRS Bulletin
29, 935 (2005).
Rachel S. Aga, James R. Morris and Mikhail I. Mendelev, "Homogeneous Crystal Nucleation in Undercooled Aluminum," to appear in TMS Letters.
S. Wang, C. Z. Wang, F.-C. Chuang, J. R. Morris and K. M. Ho, "Ab initio molecular dynamics simulation of liquid AlxGe1-x Alloys," Phys. Rev. B. 70, 224205 (2004).
S. Wang, C. Z. Wang, F.-C. Chuang, J. R. Morris and K. M. Ho, "Ab initio molecular dynamics Simulation of liquid Al88Si12 Alloys," J.Chem. Phys 122, 034508 (2005).
PI William Rowan
"A System for Direct Comparisons of Nonlinear Simulations of Turbulence with Measurements," R. V. Bravenec and W. M. Nevins, to be published in Rev. Sci. Instrum. (2005).
"Gyrokinetic Simulations of ETG-Free Dis,charges on DIII-D," R.V. Bravenec, T. L. Rhodes, J. Candy, G. M. Staebler, and G. R. McKee, Bull. Am. Phys. Soc. 49, 158 (2004).
"Comparisons of Measurements and Gyrokinetic Simulations of Turbulence and Transport in Alcator C- Mod EDA H-Mode Discharges," M. B. Sampsell, R. V. Bravenec, J. Candy, D. R. Ernst, and W. M. Nevins,
Bull. Am. Phys. Soc. 49, 217 (2004).
PI Robert Ryne
J. Amundson, P. Spentzouris, J. Qiang, R. Ryne, " Synergia: A 3-D PIC Code with Space Charge," accepted by J. Comp. Phys. (2005).
K. Ohmi, M. Tawada, Y. Cai, S. Kamada, K. Oide, J. Qiang, "Study of the beam-beam limit in e e- circular colliders," Phys. Rev. Lett. vol. 92, 214801 (2004)
K. Ohmi, M. Tawada, Y. Cai, S. Kamada, K. Oide, and J. Qiang, "Luminosity limit due to the beam-beam interactions with or without crossing angle," Phys. Rev. ST Accel. Beams, vol 7, 104401 (2004).
Dave Higdon, Marc Kennedy, James C. Cavendish, John A. Cafeo, Robert D. Ryne, "Combining Field Data and Computer Simulations for Calibration and Prediction," SIAM Journal on Scientific Computing,
Volume 26, Number 2, pp. 448-466 (2004).
J. Qiang, M.A. Furman, R.D. Ryne, "A Parallel Particle-In-Cell Model for Beam-Beam Interactions in High Energy Ring Colliders," J.Comp.Phys.198:278-294 (2004).
PI Roman Samulyak
R. Samulyak, Y. Prykarpatskyy, Richtmyer-Meshkov instability in liquid metal flows: influence of cavitation and magnetic fields, Mathematics and Computers in Simulations, 65 (2004), 431 - 446.
R. Samulyak, T. Lu, Y. Prykarpatskyy, Direct and homogeneous numerical approaches to multiphase flows, Lecture Notes in Comp. Sci., 3039 (2004), 653 - 660. Springer-Verlag, Berlin - Heidelberg, 2004.
PI Henry Schaefer
N. J. DeYonker, S. Li, Y. Yamaguchi, and H. F. Schaefer, "Applications of Equation-of-motion Coupled Cluster Methods to Low-Lying Singlet and Triplet Electronic States of HBO and BOH", J. Chem. Phys.
(in press)
R. K. Sreeruttun, P. Ramasami, A. Paul, C. S. Wannere, and H. F. Schaefer, "Effects of Fluorine on the Structures and Energetics of the Propynal and Propargyl Radicals and they Anions", J. Or. Chem.
(in press)
W. D. Allen, M. S. Schuurman, and H. F. Schaefer, "On G0 anharmonicity in Polyatomic Zero Point Vibrational Energies", J. Chem. Phys. (in press)
M. S. Schuurman, W. D. Allen, and H. F. Schaefer, "The Highly Anharmonuc BH5 Potential Energy Surface Characterized in the Ab Initio Limit", J. Chem. Phys. (in press)
M. S. Schuurman, W. D. Allen, and H. F. Schaefer, "The Ab Initio Limit Quartic Force Field of BH3", J. Comput. Chem. (in press)
R. K. Sreeruttun, P. Ramasami, G. Yan, C. S. Wannere, P. R. Schleyer, and H. F. Schaefer, "The alkylethynyl radicals, C-center dot equivalent to C-CnH2n 1 (n=1-4), and their anions", Int. J. Mass.
Spec. 241 (2-3): 295 (2005)
M. Schuurman, S. Muir, W. D. Allen, and H. F. Schaefer, "Toward Subchemical Accuracy in Computational Thermochemistry: Focal Point Analysis of the Heat of Formation of NCO and [H,N,C,O] Isomers", J.
Chem. Phys. 120, 11586 (2004).
Y. Yamaguchi and H. F. Schaefer, "The Diazocarbene (CNN) Molecule: Characterization of the Triplet Sigma Minus and Triplet Pi Electronic States", J. Chem. Phys. 120, 9536 (2004).
S. E. Wheeler, W. D. Allen, and H. F. Schaefer, "Thermodynamics of Disputed Soot Formation Intermediates C4H3 and C4H5", J. Chem. Phys. 121, 8800 (2004).
PI Rocco Schiavilla
"Polarization transfer in 4He(e,e'p)3H:Is the ratio GEp/GMp modified in medium?",R. Schiavilla, O. Benhar, A. Kievsky, L.E. Marcucci, and M. Viviani, Phys. Rev. Lett. 94, 072303 (2005)
"Induced polarization in the 2H(gamma,n)p reaction at low energy", R. Schiavilla, Phys. Rev. C in press.
"Electromagnetic structure of A=2 and 3 nuclei and the nuclear current operator", L.E. Marcucci, M. Viviani, R. Schiavilla, A. Kievsky, and S. Rosati, Phys. Rev. C 72, 014001 (2005)
"Electromagnetic structure of few-body nuclear systems",L.E. Marcucci, M. Viviani, A. Kievsky, S. Rosati, and R. Schiavilla, "Italian Nuclear Physics Conference", in press
"Electrodisintegration of 3He below and above deuteron breakup threshold", L.E.Marcucci, M. Viviani, R. Schiavilla, A. Kievsky, and S. Rosati, Eur. Phys. J.A24, 95 (2005)
PI Dalton Schnack
S.E. Kruger, D.D. Schnack, and C. R. Sovinec "Dynamics of a Major Disruption of a DIII-D Plasma" Physics of Plasmas 12, 056113 2005.
S.E. Kruger, C. R. Sovinec, D.D. Schnack, and E. D. Held "Free-boundary Simulations of DIII-D Plasmas with the NIMROD Code" Computer Physics Communications, 164 (34) 2004.
A. Y. Pankin, G. Bateman, D. P. Brennan, D. D. Schnack and et al. "Theory-based model for the pedestal, edge stability and ELMs in tokamaks" (Submitted for publication in Nuclear Fusion) 2005.
PI David Schultz
Helium atom in a box: doubly excited levels within the s-wave model, D M Mitnik, Phys. Rev. A 70, 022703 (Aug 2004).
Coherence parameters for charge transfer in collisions of protons with helium calculated using a hybrid numerical approach, T Minami, C O Reinhold, D R Schultz, and M S Pindzola, J. Phys. B 37, 4025
(Oct 2004).
Strong contributions of indirect processes to the electron-impact ionization cross section of Sc ions, J Jacobi, H Knopp, S Schippers, A Muller, S D Loch, M C Witthoeft, M S Pindzola, and C P
Ballance, Phys. Rev. A 70, 042717 (Oct 2004).
Electron-impact ionization of Bi q for q=1-10, S D Loch, M S Pindzola, N R Badnell, F Scheuermann, K Kramer, K Huber, and E Salzborn, Phys. Rev. A 70, 052714 (Nov 2004).
Dielectronic recombination of Pb 79 via high angular momenta, N R Badnell, D M Mitnik, M S Pindzola, S D Loch, and S A Abdel-Naby, Phys. Rev. A 70, 054701 (Nov 2004).
Dielectronic recombination data for dynamic finite-density plasmas: VII. The neon isoelectronic sequence, O Zatsarinny, T W Gorczyca, K Korista, N R Badnell, and D W Savin, Astronomy and Astrophysics
426, 699 (2004).
Dielectronic recombination data for dynamic finite-density plasmas: D M Mitnik and N R Badnell, VIII. The nitrogen isoelectronic sequence, Astronomy and Astrophysics 425, 1153 (2004).
Helium line intensity ratio in microwave generated plasmas, N K Podder, J A Johnson, C T Raynor, S D Loch, C P Ballance, and M S Pindzola, Physics of Plasmas 11, 5436 (Dec 2004)
The influence of metastable levels on the electron-impact single ionization of C 2, S D Loch, M C Witthoeft, M S Pindzola, I Bray, D V Fursa, M Fogel, R Schuch, P Glans, C P Ballance, and D C
Griffin, Phys. Rev. A 71, 012716 (Jan 2005).
Atomic data from the IRON project: LVI. Electron excitation of Be-like Fe XXIII for n=2,3,4 configurations, M C Chidichimo, G Del Zanna, H E Mason, N R Badnell, J A Tully, and K A Berrington, Astron.
Astrophys. 430, 331 (2005).
Electron-impact excitation and ionization of H2+ using a configuration-average distorted-wave method, M S Pindzola, F J Robicheaux, J A Ludlow, J P Colgan, and D C Griffin, Phys. Rev. A 72, 012716
(July 2005).
Electron-ion recombination of Be-like C, N, and O, M Fogle, N R Badnell, P Glans, S D Loch, S Madzunkov, S A Abdel-Naby, M S Pindzola, and R Schuch, Astronomy and Astrophysics 442, 757 (2005).
PI Edward Seidel
Miguel Alcubierre, Bernd Bruegmann, Peter Diener, Francisco Siddhartha Guzman, Ian Hawke, Scott Hawley, Frank Herrmann, Michael Koppitz, Denis Pollney, Edward Seidel, and Jonathan Thornburg, 2005,
Physical Review D, 72:044004, Dynamical evolution of quasi-circular binary black hole data.
PI Marjorie Shapiro
"Measurement of the Moments of the Hadronic Invariant Mass Distribution in Semileptonic B Decays" D. Acosta et al., The CDF Collaboration, Phys. Rev. D71, 051103 (2005)
Measurement of Partial Widths and Search for Direct CP Violation in D0 Meson Decays D. Acosta et al., The CDF Collaboration, Phys. Rev. Lett. 94, 122001 (2005)
"Measurement of the tt-bar Production Cross Section in p anti-p Collisions at s**(1/2) = 1.96 TeV using Lepton Jets Events with Secondary Vertex b-tagging" D. Acosta et al., The CDF Collaboration,
Phys. Rev. D71, 052003 (2005)
PI Junko Shigemitsu
``High-Precision Lattice QCD Confronts Experiment'', C.T.H. Davies,..., A. Gray,......, J. Shigemitsu, M. Wingate et al.; Phys. Rev. Lett. 92: 022001 (2004).
``The Bs and Ds Decay Constants in 3 Flavor Lattice QCD'', M. Wingate, C.T.H. Davies, A. Gray, P. Lepage, J. Shigemitsu; Phys. Rev. Lett. 92: 162001 (2004).
"One-loop matching of the heavy-light A0 and V0 currents with NRQCD heavy and improved naive light quarks", E.Gulez, J. Shigemitsu, M. Wingate; Phys. Rev. D 69: 074501 (2004).
`First Determination of the Strange and Light Quark Masses from Full Lattice QCD'', C.Aubin, A. Gray, J. Shigemitsu, M. Wingate et al.; Phys. Rev. D 70: 031504 (2004).
``Accurate Determination of $\alpha_s$ from Realistic Lattice QCD'', Q.Mason, A. Gray, J. Shigemitsu et al.; hep-lat/0503005, Phys. Rev. Lett. 95: 052002, (2005).
``The B Meson �Decay Constant from Unquenched Lattice QCD'', A.Gray, M.Wingate, E.Gulez, J.Shigemitsu et al.; hep-lat/0507015, submitted to Physical Review Letters.
``Progress Calculating Decay Constants with NRQCD and AsqTad Actions'', M. Wingate, C. Davies, A. Gray, E. Gulez, P. Lepage, J. Shigemitsu; Nucl. Phys. B (Proc Suppl.) 129\&130, 325 (2004).
``Heavy Light Meson Semileptonic Decays with Staggered Light Quarks'', J. Shigemitsu, C. Davies, A. Gray, E. Gulez, P. Lepage, M. Wingate; Nucl. Phys. B (Proc Suppl.) 129\&130, 331 (2004).
`` Semileptonic B decays with Nf = 2+1 dynamical quarks'', J. Shigemitsu, C. Davies, A. Dougall, K. Foley, E. Gamiz, A. Gray, E. Gulez, P. Lepage, M. Wingate; Nucl. Phys. B (Proc Suppl.) 140, 464
`` B leptonic Decays and B0 −B0 mixing with 2+1 flavors of dynamical quarks '', A. Gray, C. Davies, E. Gulez, P. Lepage, J. Shigemitsu, M. Wingate; Nucl. Phys. B (Proc Suppl.) 140, 446 (2005).
``BK from Improved Staggered Quarks'', E. Gamiz, S. Collins, C. Davies, J. Shigemitsu, M. Wingate; Nucl. Phys. B (Proc Suppl.) 140, 353 (2005).
PI Donald Sinclair
G.T.Bodwin, J.Lee and D.K.Sinclair, ``Spin correlations and velocity-scaling in color-octet NRQCD matrix elements,'' Phys. Rev. D72, 014009 (2005) [arXiv:hep-lat/0503032].
J.B.Kogut and C.G.Strouthos, ``The logarithmic triviality of compact QED coupled to a four-fermi interaction,'' Phys. Rev. D71 094012 (2005) [arXiv:hep-lat/0501003].
D.Toublan and J.B.Kogut, ``The QCD phase diagram at nonzero baryon, isospin and strangeness chemical potentials: Results from a hadron resonance gas model,'' Phys. Lett. B605, 129 (2005)
J.B.Kogut and D.K.Sinclair, ``The finite temperature transition for 2-flavor lattice QCD at finite isospin density,'' Phys. Rev. D70, 094501 (2004) [arXiv:hep-lat/0407027].
S.J.Hands, J.B.Kogut, L.Scorzato and C.G.Strouthos, ``Non-compact QED(3) with N(f) = 1 and N(f) = 4,'' Phys. Rev. B70, 104501 (2004)[arXiv:hep-lat/0404013].
J.B.Kogut and D.K.Sinclair, ``Finite dt dependence of the Binder cumulants for 3-flavor QCD at finite temperature and isospin density,'' [arXiv:hep-lat/0504003].
J.B.Kogut, C.G.Strouthos and I.N.Tziligakis, ``Non-compact QED(3) coupled to a four-fermi interaction,'' Nucl. Phys. Proc. Suppl. 140, 701 (2005) [arXiv:hep-lat/0409038].
J.B.Kogut and D.K.Sinclair, ``The finite temperature transition for 3-flavour lattice QCD at finite isospin density,'' Nucl. Phys. Proc. Suppl. 140, 526 (2005) [arXiv:hep-lat/0407041].
PI George Smoot
"Cosmic Background Radiation Mini-Review" by Douglas Scott, George Smoot "The Review of Particle Physics", S. Eidelman et al., Physics Letters B592, 1 (2004)
"Search for Cosmic Strings in CMB Anisotropies" E. Jeong, G.F. Smoot Astrophys.J. 624 (2005) 21-27
PI Randall Snurr
S.A. McMillan, R.Q. Snurr, L.J. Broadbelt, "Interaction of divalent metal cations with ferrierite: Insights from density functional theory," Micropor. Mesopor. Materials 68, 45-53 (2004).
T. D|ren, L. Sarkisov, O.M. Yaghi, R.Q. Snurr, "Design of new materials for methane storage," Langmuir 20, 2683-2689 (2004).
R.Q. Snurr, J.T. Hupp, S.T. Nguyen, "Prospects for nanoporous metal-organic materials in advanced separation processes," AIChE J. 50, 1090-1095 (2004).
T. D|ren, R.Q. Snurr, "Assessment of isoreticular metal-organic frameworks for adsorption separations: a molecular simulation study of methane/n-butane mixtures," J. Phys. Chem. B 108, 15703-15708
PI Philip Snyder
D.P. Brennan, S.E. Kruger, T.A.Gianakon and D.D.Schnack, "A Categorization of Tearing Mode Onset in Tokamaks via Nonlinear Simulation," Nuclear Fusion 45 (2005) 1178.
J. Candy, "Beta scaling of transport in microturbulence simulations", Phys. Plasmas 12 (2005) 072307.
M. Choi, V.S. Chan, R.I. Pinsker, S.C. Chiu, and W.W. Heidbrink, "Monte Carlo Orbit/Full Wave Simulation of Ion Cyclotron Resonance Frequency Wave Damping on Resonant Ions in Tokamaks," Phys. Plasmas
12 1 (2005).
C. Estrada-Mila, J. Candy, and R.E. Waltz, "Gyrokinetic Simulations of Ion and Impurity Transport," Phys. Plasmas 12 (2005) 22305.
J.E. Kinsey, R.E. Waltz, and J. Candy, "Nonlinear Gyrokinetic Turbulence Simulations of ExB Shear Quenching of Transport," Phys. Plasmas 12 (2005) 062302.
J.E. Kinsey et al., "Transport Modelling and Gyrokinetic Analysis of Advanced High Performance Discharges," Nucl. Fusion 45 450 (2005).
P.B. Snyder, H.R. Wilson, and X.Q. Xu, "Progress in the Peeling-Ballooning Model of ELMs: Numerical Studies of Nonlinear Dynamics," Phys. Plasmas 12 056115 (2005).
R.E. Waltz, J. Candy, F.L. Hinton, C. Estrada-Mila, and J.E. Kinsey, "Advances in Comprehensive GyroKinetic Simulations of Transport in Tokamaks," Nucl. Fusion 45 (2005) 741.
R.E. Waltz and J. Candy, "Heuristic Theory of Nonlocally Broken Gyro-Bohm Scaling," Phys. Plasmas 12 (2005) 072303.
R. E. Waltz, "Rho-star Scaling and Physically Realistic Gyrokinetic Simulations of Transpiort in DIII-D," Fusion Science and Technology 48 (2005) 1051.
A.D. Turnbull, D.P. Brennan, M.S. Chu, L.L. Lao, P.B. Snyder, "Theory and Simulation Basis for Magnetohydrodynamic Stability in DIII-D", Fusion Sci. and Technol 48 (2005) 875.
J.E. Kinsey, G.M. Staebler and R.E. Waltz, "Predicting Core and Edge Transport Barriers in Tokamaks Using the GLF23 Drift-Wave Transport Model," Phys. Plasmas 12 052503 (2005).
A.D. Turnbull, D.P. Brennan, M.S. Chu, L.L. Lao, P.B. Snyder, "Theory and Simulation Basis for Magnetohydrodynamic Stability in DIII-D", to be published in Fusion Sci. and Technol 48 (2005)
PI Carl Sovinec
E. D. Held, J. D. Callen, C. C. Hegna, C. R. Sovinec, T. A. Gianakon, and S. E. Kruger, "Nonlocal Closures for Plasma Fluid Simulations," Physics of Plasma 11, 2419 (2004).
S. E. Kruger, C. R. Sovinec, D. D. Schnack, and E. D. Held, "Free-Boundary Simulations of DIII-D Plasmas with the NIMROD Code," Computer Physics Communications 164, 34 (2004).
C. C. Kim, C. R. Sovinec, S. E. Parker, and the NIMROD Team, "Hybrid Kinetic-MHD Simulations in General Geometry," Computer Physics Communications 164, 448 (2004).
S. Woodruff, B. I. Cohen, E. B. Hooper, H. S. McLean, B. W. Stallard, D. N. Hill, C. T. Holcomb, C. Romero-Talamaras, R. D. Wood, G. Cone, and C. R. Sovinec, "Controlled and Spontaneous Magnetic
Field Generation in a Gun-Driven Spheromak," Physics of Plasmas 12, 52505 (2005).
S. E. Kruger, D. D. Schnack, and C. R. Sovinec, "Dynamics of the Major Disruption of a DIII-D Plasma," Physics of Plasmas 12, 56113 (2005).
E. B. Hooper, T. A. Kopriva, B. I. Cohen, D. N. Hill, H. S. McLean, R. D. Wood, S. Woodruff, and C. R. Sovinec, "Magnetic Reconnection during Flux Conversion in a Driven Spheromak," accepted for
publication in Physics of Plasmas.
PI Frank Spera
Tradeoffs in Chemical and Thermal Variations in the Post-perovskite Phase Transition: Mixed phase Regions in the Lower Mantle?, Subm. Earth and Planetary Science Letters, april 15, 2005 (Spera, Giles
and Yuen)
PI Don Spong
"Generation and damping of neoclassical plasma flows in stellarators," D. A. Spong, Phys. of Plasmas, Vol. 12, 056114 (2005).
"Topological instability along invariant surfaces and pseudochaotic transport," G. M. Zaslavsky, B. A. Carreras, V. E. Lynch, L. Garcia, and M. Edelman, to be published Phys. Rev. E.
"Non-diffusive transport in pressure-driven plasma turbulence: a fractional diffusion approach," D. del-Castillo-Negrete, B.A. Carreras, and V.E. Lynch, Phys. Rev. Letters 94, 065003 (2005).
"Recent advances in quasi-poloidal stellarator physics issues," D. A. Spong, S. P. Hirshman, J. F. Lyon, L. A. Berry and D. J. Strickler, Nuclear Fusion, Vol. 45, 918 (2005).
"Fluid limit of nonintegrable continuous-time random walks in terms of fractional differential Equations," R. Sanchez, B.A. Carreras, and B.Ph. van Milligen, Phys. Rev. E, 71, 011111 (2005).
"Probabilistic transport models for plasma transport in the presence of critical thresholds: beyond the diffusive paradigm," R. Sanchez, B.Ph. van Milligen, and B.A. Carreras, Phys. Plasmas 12,
056105 (2005).
"The foundations of diffusion revisited, B.Ph. van Milligen, B.A. Carreras, and R. Sanchez," to be published in Plasma Phys. Contrl. Fusion.
PI Garrison Sposito
O'Connor M.V., Sposito G. (2004) Investigation of biogenic manganese oxide by density functional theory. Abstracts of Papers of the American Chemical Society 228, U548-U549
PI Phillip Sprangle
D. F. Gordon, R. F. Hubbard, J. M. Cooley, B. Hafizi, A. Ting and P. Sprangle, Quasi-monoenergetic electrons from unphased injection into channel guided laser wakefield accelerators, Phys. Rev. E 71,
026404 (2005).
R. F. Hubbard, D. F. Gordon, J. H. Cooley, B. Hafizi, T. G. Jones, D. Kaganovich, P. Sprangle, A. Ting, A. Zigler, and J. Dexter, Trapping and Acceleration of Nonideal Injected Electron Bunches in
Laser Wakefield Accelerators, IEEE Trans. Plasma Sci. 33, 712 (2005).
A. Ting, D. Kaganovich, D. F. Gordon, R.F. Hubbard and P. Sprangle, Generation and measurements of high energy injection electrons from the high density laser ionization and ponderomotive
acceleration, Phys. Plasmas 12, 010701 (2005).
D. Kaganovich, A. Ting, D. Gordon, T. G. Jones, R. Hubbard, and P. Sprangle, Generation of high energy electrons in a double gas jet and laser wakefield acceleration, IEEE Trans. Plasma Sci. 33, 735
PI Ashok Srinivasan
A. Srinivasan, Y. Yu, and N. Chandra. Application of reduced order modeling to time parallelization, 2005. To appear in Proceedings of HiPC. 2005
B. Radhakrishnan and G. Sarma, "Simulating the Effect of Coarse, Non-Deformable Particles on the Recrystallization Kinetics and Texture of Hot Deformed Aluminum", Philosophical Magazine A (22), pp.
2341-2366, 2004.
PI Malcolm Stocks
"Spin waves in paramagnetic BCC iron: spin dynamics simulations," Xiuping Tao, D. P. Landau, T. C. Schulthess, G. Malcolm Stocks, Phys. Rev. Lett. 95, 087207 (2005)
"Magnetic Interactions Influence the Properties of Helium Defects in Iron," Tatiana Seletskaia, Yuri Osetsky, R. E. Stoller and G. M. Stocks, Phys. Rev. Lett. 94, 046403 (2005)
"Magnetic structure of Ni?rich NiTa and permalloy?Ta alloys," Nassrin Y. Moghadam, G. Malcolm Stocks, Phys. Rev. B 71, 134421 (2005)
"Ab initio spin dynamics applied to nanoparticles: canted magnetism of a finite Co chain along a Pt(111) surface step edge," B. Ujfalussy, B. Lazarovits, L. Szunyogh, G. M. Stocks and P. Weinberger,
Phys. Rev. (Rapid Communications) B 70, 100404 (2004)
"Ab initio study of canted magnetism of finite metallic chains at surfaces," B. Lazarovits, B. Ujfalussy, L. Szunyogh, G. M. Stocks and P. Weinberger, J. Phys.: Condens. Matter 16 No 48 S5833-S5840,
(8 December 2004)
"Magnetic properties of quantum corrals from first-principles calculations," B. Lazarovits, B. Zjfalussy, L. Szunyogh, B. L. Gyvrffy, and P. Weinberger; J. Phys.: Condens. Matter 17 No 13 S1037-S1048
(6 April 2005)
"Polymorphous Coherent?Potential Approximation," S. Pella, J. S. Faulkner, G. Malcolm Stocks and B. Ujfalussy, Phys. Rev. B 70, 064203 (2004)
"Magnetic Structure of iron inclusions in copper," M. Eisenbach, G. M. Stocks, B. Zjfalussy, J. Appl. Phys. 95, 6684 (2004)
PI Robert Street
Chen, Y., R. L. Street, and F. L. Ludwig (2004) Stably stratified flows near a notched transverse ridge across the Salt Lake Valley. J. Appl. Meteor., 43, pp. 1308�28.
Chen, Y., R. L. Street, and F. L. Ludwig (2004) Mountain waves in Salt Lake Valley. Bulletin of the American Meteorological Society, 85, 943 � 43.
Chen, Y., Street, R. L., and Ludwig, F. L. (2004) On rotors, internal waves and hydraulic jumps in simulated stably-stratified flows in Utah's Salt Lake Valley. 11th Conf. on Mountain Meteorology and
the Annual MAP, AMS, P1.2, 5 pages.
PI Alberto Striolo
A. Striolo, K.E. Gubbins, T.D. Burchell, J.M. Simonson, D.R. Cole, M.S. Gruszkiewicz, A.A. Chialvo, and P.T. Cummings, Temperature Effect on Water Adsorption in Porous Carbons, Langmuir, in press
A. Striolo, P.K. Naicker, A.A. Chialvo, P.T. Cummings, and K.E. Gubbins, Simulated Water Adsorption Isotherms in Hydrophilic and Hydrophobic Cylindrical Nanopores, Adsorption, (2005) in press.
A. Striolo, K.E. Gubbins, A.A. Chialvo, and P.T. Cummings, Effect of Pore Connectivity on Water Adsorption Isotherms in Non-Activated Graphitic Nanopores, Adsorption, (2005) in press.
A. Striolo, C. McCabe, and P.T. Cummings, Thermodynamic and Transport Properties of Polyhedral Oligomeric Silsesquioxanes in Poly(Dymethyl Siloxane), Journal of Physical Chemistry B, 109 (2005)
A. Striolo, A.A. Chialvo, K.E. Gubbins, and P.T. Cummings, Water in Carbon Nanotubes: Adsorption Isotherms and Thermodynamic Properties from Molecular Simulation, Journal of Chemical Physics, 122
(2005) 234712; Virtual Journal of Nanoscale Science & Technology, Vol. 12, Issue 1, July 4th, 2005; Virtual Journal of Biological Physics Research, Vol. 10, Issue 1, July 1st, 2005
A. Striolo, K.E. Gubbins, A.A. Chialvo, and P.T. Cummings, Simulated Water Adsorption Isotherms in Carbon Nanopores, Molecular Physics, 102 (2004) 243.
PI Erich Strohmaier
CUG2005: MPI, SHMEM, and UPC Performance on the Cray A Case Study using APEX-Map
EuroPar 2005: Apex-Map: A Synthetic Scalable Benchmark Probe to Explore Data Access Performance on Highly Parallel Systems
SC2005: Apex-Map: A Global Data Access Benchmark to Analyze HPC Systems and Parallel Programming Paradigms
SC2005: Measurement of Spatial and Temporal Locality in Memory Access Patterns, J. Weinberg, A. Snavely, M.O. McCracken, E. Strohmaier
PI Maxim Sukharev
"Optimal Control Approach to Suppression of Radiationless Transitions", M. Sukharev, T. Seideman, Phys. Rev. Lett. 93, 093004 (2004);
"Optical control of nonradiative decay in polyatomic molecules", M. Sukharev, T. Seideman, Phys. Rev. A, Vol. 71, 012509 (2005);
PI Xianzhu Tang
"Force-free magnetic relaxation in driven plasmas," X.Z. Tang and A.H.Boozer, Physical Review Letters 94, 225004 (2005).
"Constrained resonance in magnetic self-organization," X.Z. Tang and A.H. Boozer, Physical Review Letters (in press, 2005).
"Flux amplification in helicity injected spherical tori," X.Z.Tang and A.H.Boozer, Phys. Plasmas 12, 042113 (2005).
"Chandrasekhar-Kendall modes and Taylor relaxation in an axisymmetric torus," X.Z. Tang and A.H. Boozer, Phys. Plasma (in press, 2005).
"The SEL spectral element code," A.H.Glasser and X.Z.Tang, Computer Physics Communications, 164: 237-243 (2004).
"Progress towards high performance plasmas in the National Spherical Torus Experiment (NSTX)," S.M.Kaye, et al, Nuclear Fusion (in press, 2005).
PI Uwe Thumm
On the effect of image states on resonant neutralization of hydrogen anions near metal surfaces, H. Chakraborty, T. Niederhausen, and U. Thumm, Nucl. Instr. Meth. B (to be published)
Resonant neutralization of H- near Cu surfaces: Effects of the surface symmetry and ion trajectory, H. Chakraborty, T. Niederhausen, and U. Thumm Phys. Rev. A 70, 052903 (2004)
Circular dichroism in laser-assisted proton-hydrogen collisions T. Niederhausen, B. Feuerstein, and U. Thumm Phys. Rev. A 70, 023408 (2004)
Effects of the surface Miller index on the resonant neutralization of hydrogen anions near Ag surfaces H. Chakraborty, T. Niederhausen, and U. Thumm Phys. Rev. A 69, 052901 (2004)
PI Owen Toon
A. S. Ackerman, M. P. Kirkpatrick, D. E. Stevens, O. B. Toon, 2004. The impact of humidity above stratiform clouds on indirect aerosol climate forcing, Nature, 432, 1014-1017.
Stevens, B., C.-H. Moeng, A. S. Ackerman, C. S. Bretherton, A. Chlond, S. de Roode, J. Edwards, J.-C. Golaz, H. Jiang, M. Khairoutdinov, M. P. Kirkpatrick, D. C. Lewellen, A. Lock, F. Mueller, D. E.
Stevens, E. Whelan, and P. Zhu, Evaluation of large-eddy simulations via observations of nocturnal marine stratocumulus, Mon. Wea. Rev. 133, 1443-1462, 2005.
Kirkpatrick, M. P., A. S. Ackerman, D. E. Stevens, and N. N. Mansour, On the application of the dynamic Smagorinsky model to large-eddy simulations of the cloud-topped atmospheric boundary layer, In
press at J. Atmos. Sci., 2005.
Xueref, I., C. Gerbig, A. Fridlind, A., J. C. Lin, S. C. Wofsy, B. C. Daube, A. S. Ackerman, J. E. Smith, D. Sayres, J. Vellovic, D. G. Baumgardner, D. Wang, E. Weinstock, A. E. Andrews, E. W.
Gottlieb, and J. G. Anderson, Combining a receptor-oriented framework for tracer distributions with a cloud-resolving model to study transport in deep convective clouds: Application to the NASA
CRYSTAL-FACE campaign, Geophys. Res. Lett. 31 (14), L14106, 2004.
PI Doug Toussaint
Light pseudoscalar decay constants, quark masses, and low energy constants from three-flavor lattice QCD, The MILC Collaboration: C. Aubin, C. Bernard, C. DeTar, Steven Gottlieb, E.B. Gregory, U.M.
Heller, J.E. Hetrick, J. Osborn, R. Sugar, D. Toussaint, Phys. Rev. D 70, 114501 (2004) [arXiv:hep-lat/0407028].
First determination of the strange and light quark masses from full lattice QCD, HPQCD collaboration: MILC collaboration: UKQCD collaboration: C. Aubin, C. Bernard, C. Davies, C. DeTar, S. Gottlieb,
A. Gray, E. Gregory, J. Hein, U.M. Heller, J. Hetrick, G. Lepage, Q. Mason, J. Osborn, R. Sugar, D. Toussaint), Phys. Rev. D 70 031504(R) (2004) [arXiv:hep-lat/0405022].
Semileptonic decays of D mesons in three-flavor lattice QCD, The Fermilab Lattice, MILC, and HPQCD Collaborations: C. Aubin, C. Bernard, C. DeTar, M. Di Pierro, A. El-Khadra, Steven Gottlieb, E. B.
Gregory, U. M. Heller, J. Hetrick, A. S. Kronfeld, P. B. Mackenzie, D. Menscher, M. Nobes, M. Okamoto, M. B. Oktay, J. Osborn, J. Simone, R. Sugar, D. Toussaint, H. D. Trottier, Phys. Rev. Lett. 94,
011601 (2005) [arXiv:hep-lat/0408306].
Light hadrons with improved staggered quarks: approaching the continuum limit, The MILC Collaboration: C. Aubin, C. Bernard, T. Burch, C. DeTar, Steven Gottlieb, E.B. Gregory, U.M. Heller, J. Osborn,
R. Sugar, D. Toussaint, Phys. Rev. D 70, 094505 (2004) [arXiv:hep-lat/0402030].
Topological susceptibility with three flavors of staggered quarks, The MILC Collaboration: C. Aubin, C. Bernard, Brian Billeter, C. DeTar, Steven Gottlieb, E. Gregory, U.M. Heller, J.E. Hetrick, J.
Osborn (2), R.L. Sugar, D. Toussaint, Nucl. Phys. B (Proc. Suppl.) 140, 600 (2005) [arXiv:hep-lat/0409051].
The scaling dimension of low lying Dirac eigenmodes and of the topological charge density, The MILC Collaboration: C. Aubin, C. Bernard, Steven Gottlieb, E.B. Gregory, Urs M. Heller, J.E. Hetrick, J.
Osborn, R. Sugar, D. Toussaint, Ph. de Forcrand, and O. Jahn, Nucl. Phys. B (Proc. Suppl.) 140, 626 (2005) [arXiv:hep-lat/0410024].
Leptonic decay constants f_Ds and f_D in three flavor lattice QCD, The Fermilab Lattice, HPQCD and MILC Collaborations: J.N. Simone, C. Aubin, C. Bernard, C. DeTar, M. di Pierro, A.X. El-Khadra,
Steven Gottlieb, E.B. Gregory, U.M. Heller, J.E. Hetrick, A.S. Kronfeld, P.B. Mackenzie, D.P. Menscher, M. Nobes, M. Okamoto, M.B. Oktay, J. Osborn, R. Sugar, D. Toussaint, H.D. Trottier, Nucl. Phys.
B (Proc. Suppl.) 140, 443 (2005) [arXiv:hep-lat/0410030].
The Omega- and the strange quark mass, D. Toussaint and C. Davies (MILC and UKQCD Collaborations), Nucl. Phys. B (Proc. Suppl.) 140, 234 (2005) [arXiv:hep-lat/0409129].
PI George Vahala
A. Macnab, G. Vahala and L. Vahala, "Non-uniform grid Lattice Boltzmann Simulations of 1D Dissipative MHD", Prog. Comput. Fluid Dynamics, 5, 37-49 (2005)
J. Carter, M. Soe, L. Oliker, Y. Tsuda, G. Vahala, L. Vahala and A. Macnab, "MHD Turbulence SImulations on the Earth Simulator Using the Lattice Boltzmann Method" , finalist for Gordon Bell Prize
2005 ; to be published in Proc. of SC|05 (Nov. 2005)
A. Macnab, G. Vhala, L. Vahala, J. Carter, M. Soe and W. Dorland, "The Lattice Boltzmann Representation for Plasma Physics", to be published in Physica A (2005)
G. Vahala, L. Vahala and J. Yepez, "Quantum Lattice Representation for Vector Solitons in an External Potential", to be published in Physica A (2005)
PI Michel Van Hove
"Atomistic Simulations of fcc Pt75Ni25 and Pt75Re25 Cubo-octahedral Nanoparticles", G. Wang, M.A. Van Hove, P.N. Ross and M.I. Baskes, Mat. Res. Soc. Symp. Proc. 818, 89-94 (2004).
"Monte Carlo Simulations of Segregation in Pt-Ni Catalyst Nanoparticles", G. Wang, M.A. Van Hove, P.N. Ross and M.I. Baskes, J. Chem. Phys. 122, 024706: 1-12 (2005).
"Surface Structures of Cubo-octahedral Pt-Mo Catalyst Nanoparticles from Monte Carlo Simulations", G. Wang, M.A. Van Hove, P.N. Ross and M.I. Baskes, J. Phys. Chem. 109, 11683-11692 (2005
"Quantitative Prediction of Surface Segregation in Bimetallic Pt-M Alloy Nanoparticles (M=Ni, Re, Mo)", G. Wang, M.A. Van Hove, P.N. Ross and M.I. Baskes, to be publ. in Prog. Surf. Sci.
PI James Vary
Richard J. Lloyd and James P. Vary, "All-charm Tetraquarks," Phys. Rev. D 70, 014009 (2004); hep-ph/0311179.
B.R. Barrett, P. Navratil, A. Nogga, W.E. Ormand, I. Stetcu, J.P. Vary and H. Zhan, "The Ab-Initio Large-Basis No-Core Shell Model," Proceedings of the 8th International Spring Seminar On Nuclear
Physics, Paestum, Italy, World Scientific (Singapore) to appear.
A.M. Shirokov, A.I. Mazur, S.A. Zaytsev, J.P. Vary and T.A. Weber, "Nucleon-Nucleon Interaction in the J-Matrix Inverse Scattering Approach and Few-Nucleon Systems," Phys. Rev. C 70, 044005 (2004);
J.P. Vary, "How Effective are Strong Interactions," in Blueprints for the Nucleus, C. Johnson, Editor, International Journal of Modern Physics E 14, 1 (2005).
A. Abd El-Hady, J.P.Vary and J.R. Spence, "Radiative Decays of Bc Mesons in a Bethe- Salpeter Model," Phys. Rev. D 71, 034006 (2005).
Ionel Stetcu, Bruce R. Barrett, Petr Navratil, and James P. Vary, "Effective operators within the ab initio no-core shell model," Phys. Rev. C 71,044325 (2005); nucl-th/ 0412004,.
D. Chakrabarti, A. Harindranath, L. Martinovic, G. Pivovarov and J.P. Vary, "Ab initio results for the broken phase of scalar light front field theory," Phys. Letts. B 617, 92 (2005) hep-th/0310290.
D. Chakrabarti, A. Harindranath and J.P. Vary, "A Transition in the Spectrum of the Topological Sector of Phi4(2) Theory at Strong Coupling," Phys. Rev. D 71, 125012(2005); hep-th/05104094.
B. R. Barrett, D. J. Dean, M. Hjorth-Jensen and J. P. Vary, Editors, "Nuclear Forces and the Quantum Many-Body Problem," Journal of Physics G 31, S1235 (2005).
PI Haobin Wang
H. Wang and M. Thoss, ``Self-consistent hybrid method: theory and applications to ultrafast electron transfer reactions in condensed phases'', Encyclopedia of Computational Chemistry, 2004.
M. Thoss and H. Wang, "Quantum Dynamical Simulation of Ultrafast Molecular Processes in the Condensed Phase", Chem. Phys., 315, xxx (2005).
I. Kondov, H. Wang, and M. Thoss, "Computational study of titanium (IV) complexes with organic chromophores", Int. J. Quan. Chem., in press.
PI Lin-Wang Wang
L.W. Wang, "Quantum transport calculations using auxiliary periodic boundary conditions", Phys. Rev. B 72, 45417 (2005)
L. Manna, L.W. Wang, R. Cingolani, A.P. Alivisatos, "First principle modeling of unpassivated and surfactant-passivated bulk facets of wurtzite CdSe", J. Phys. Chem. B 109, 6183 (2005)
X. Cartoixa, L.W. Wang, "Microscopic dieletric response functions in semiconductor quantum dots", Phys. Rev. Lett. 94, 236804 (2005)
J. Li, S.-H. Wei, L.W. Wang, "Stability of the DX center in GaAs quantum dots", Phys. Rev. Lett. 94, 185501 (2005).
J. Li, L.W. Wang, "Ab initio study of semiconductor quantum dots and wires", Phys. Rev. B (in press)�
Y. Zhang, A. Mascarenhas, L.W. Wang, "Similar and dissimilar aspects of III-V semiconductors containing Bi versus N", Phys. Rev. B 71, 155201 (2005).
J.W. Luo, S.S. Li, J.B. Xia, L.W. Wang, "Photoluminescence pressure coefficients of InAs/GaAs quantum dots", Phys. Rev. B 71, 245315 (2005)
J. Li, L.W. Wang, "Electronic structure of InP quantum rods: differences between wurtzite, zince blende, and different orientations", Nano Lett. 4, 29 (2004).
L.W. Wang, "Effects of stacking faults on the electronic structures of quantum rods", J. Comp. Theor. Nano. 1, 298 (2004).
J. Li, L.W. Wang, "Comparison between quantum confinement effects of quantum wires and quantum dots", Chem. Mater. 16, 4012 (2004).
J. Li, L.W. Wang, "Comparison between quantum confinement effects of quantum wires and quantum dots", Chem. Mater. 16, 4012 (2004)�
PI Warren Washington
Arblaster, J.M. and G.A. Meehl, 2005: Contributions of external forcings to Southern Annular Mode trends, Journal of Climate, accepted.
Barnett, T., R. Malone, W. Pennell, D. Stammer, A. Semtner, and W. Washington, 2004: The effects of climate change on water resources in the west: Introduction and Overview. Climatic Change, 62,
Barnett, T.P., D. Pierce, K. AchutaRao, P. Gleckler, B. Santer, J. Gregory and W. Washington, 2005: Penetration of Human-Induced Warming into the World's Oceans. Science, 309, 284-287.
Dai, A., A. Hu, G.A. Meehl, W.M. Washington and W.G. Strand, 2005: Atlantic thermohaline circulation in a coupled general circulation model: Unforced variations vs. forced changes. J. Climate, in
Hu, A., G.A. Meehl, W.M. Washington, and A. Dai, 2004: Response of the Atlantic thermohaline circulation to increased atmospheric CO2 in a coupled model, Journal of Climate, 17, 4267-4279.
Lamarque, J.-F., P. Hess, L. Emmons, L. Buja, W.M. Washington and C. Granier, 2005: Tropospheric ozone evolution between 1890 and 1990, Journal of Geophysical Research, 110, D08304, doi: 10.1029/
Meehl, G.A., C.Covey, B. McAvaney, M. Latif, and R.J. Stouffer, 2005: Overview of the Coupled Model Intercomparison Project. Bulletin of the American Meteorological Society, 86, 89-93.
Meehl, G. A., W. M. Washington, W. D. Collins, J.M. Arblaster, A. Hu, L. E. Buja, W. G. Strand, H. Teng, 2005: How much more global warming and sea level rise. Science, 307, 1769-1772.
Meehl, G.A., and C. Tebaldi, 2004: More intense, more frequent and longer lasting heat waves in the 21st century. Science, 305, 994-997.
van Loon, H., G.A. Meehl, and J.M. Arblaster, 2004: A decadal solar effect in the tropics in July-August. Journal of Atmospheric and Solar-Terrestrial Physics, 66, 1767-1778 (doi: 10.1016/
Dai, A., W.M. Washington, G.A. Meehl, T.W. Bettge, and W.G. Strand, 2004: The ACPI climate change simulations. Climatic Change, 62, 29-43.
Hu, A. and G. A. Meehl, 2005: Reasons for a fresher northern North Atlantic in the late 20th Century. Geophysical Research Letters, 32, L11701,doi:1029/2005GL022900. Meehl G.A., J.M. Arblaster and C.
Tebaldi, 2005: Understanding future patterns of precipitation extremes in climate model simulations, Geophysical Research Letters, in pres.
Meehl, G.A., W.M. Washington, J.M. Arblaster, and A. Hu, 2004: Factors affecting climate sensitivity in global coupled models. Journal of Climate, 17, 1584-1596.
Meehl, G.A., W.M. Washington, C. Ammann, J.M. Arblaster, T.M.L. Wigley, and C. Tebaldi, 2004: Combinations of natural and anthropogenic forcings and 20th century climate. Journal of Climate, 17,
PI William Weber
R. Devanathan, L. R. Corrales, W. J. Weber, A. Chartier, and C. Meis, Molecular Dynamics Simulation of Defect Production in Collision Cascades in Zircon, Nucl. Instrum. and Methods in Physics Res. B
228 [1-4]: 299-303 (2005).
F. Gao, R. Devanathan, Y. Zhang, and W. J. Weber, Annealing Simulations of Nano-Sized Amorphous Structures in SiC, Nucl. Instrum. and Methods in Physics Res. B 228 [1-4]: 282-287 (2005).
F. Gao and W. J. Weber, Atomic-Level Computer Simulation of SiC: Defect Accumulation, Mechanical Properties and Defect Recovery, Philosophical Magazine 85 [4-7]: 509-518 (2005).
L. R. Corrales, A. Chartier, and R. Devanathan, Excess Kinetic Energy Dissipation in Materials, Nucl. Instrum. and Methods in Physics Res. B 228 [1-4]: 274-281 (2005).
A. Chartier, C. Meis, J.-P. Crocombette, W. J. Weber, and L. R. Corrales, Molecular Dynamic Simulation of Disorder Induced Amorphization in Pyrochlores, Physical Review Letters 94 [2]: 025505, 1-3
R. Devanathan, F. Gao, and W. J. Weber, Amorphization of Silicon Carbide by Carbon Displacement, Applied Physics Letters 84 [19]: 3909-3911 (2004).
F. Gao, E. J. Bylaska, A. El-Azab, and W. J. Weber, Wannier Orbitals and Bonding Properties of Interstitial and Antisite Defects in GaN, Applied Physics Letters 85 [23]: 5565-5567 (2004).
F. Gao and W. J. Weber, Mechanical Properties and Elastic Constants Due to Damage Accumulation and Amorphization in SiC, Physical Review B 69 [22]: 224108, 1-10 (2004).
F. Gao, W. J. Weber, M. Posselt, and V. Belko, Atomistic Study of Intrinsic Defect Migration in 3C-SiC, Physical Review B 69 [24]: 245205, 1-5 (2004).
F. Gao, E. J. Bylaska, and W. J. Weber, Intrinsic Defect Properties in GaN Calculated by Ab Initio and Empirical Potential Methods, Physical Review B 70 [24]: 245208, 1-8 (2004).
H. L. Heinisch and W. J. Weber, Computational Model of Alpha-Decay Damage Accumulation in Zircon, Nucl. Instrum. and Methods in Physics Res. B 228 [1-4]: 293-298 (2005).
F. Gao, W. J. Weber, M. Posselt, and V. Belko, Atomic Computer Simulations of Defect Migration in 3C and 4H-SiC, Materials Science Forum 457-460: 457-460 (2004).
R. Devanathan, L. R. Corrales, W. J. Weber, A. Chartier, and C. Meis, Molecular Dynamics Simulation of Disordered Zircon, Physical Review B 69 [6]: 064115, 1-9 (2004).
H. L. Heinisch, L. R. Greenwood, W. J. Weber, and R. E. Williford, Displacement Damage in Silicon Carbide Irradiated in Fission Reactors, J. Nuclear Materials 327 [2-3]: 175-181 (2004).
W. J. Weber, F. Gao, R. Devanathan, W. Jiang, and Y. Zhang, Defects and Ion-Solid Interactions in Silicon Carbide, Materials Science Forum 475-479: 1345-1350 (2005).
PI Michael Weinert
Magnetism on the Surface of the Bulk Paramagnetic Intermetallic Compound YCo_2. S. Khmelevskyi, P. Mohn, J. Redinger, and M. Weinert, Phys. Rev. Lett. 94, 146403 (2005).
Selected growth of cubic and hexagonal GaN epitaxial films on polar MgO(111). V.K. Lararov, J. Zimmerman, S.H. Cheung, L. Li, M. Weinert, and M. Gajdardziska-Josifovska, Phys. Rev. Lett. 94, 216101
Structure determination of disordered organic molecules on surfaces from the Bragg spots of low-energy diffraction and total-energy calculations. T. Zheng, W. T.Tysoe, H. C. Poon, M. Weinert, and D.
K. Saldin, Phys. Rev. B 69, 035401 (2004).
X-ray absorption near-edge structure analysis of the chemical environment of zinc in the tribological film formed by zinc dialkyl dithiophosphate decompisiton on steel. M. D. Pauli, T. S. Rufasel, J.
K. Mowlen, M. Weinert, D. K. Saldin, and W. T. Tysoe, Tribology International 38, 195 (2005).
Ultrahigh vacuum study of the requirements for formation of a chiral template. D. Stacchiola, L. Burkholder, T. Zheng, M. Weinert, and W. T. Tysoe, J. Phys.Chem.B 109, 851 (2005).
Structure of the hydrogen stabilized MgO(111)-(1x1) polar surface: Integrated experimental and theoretical studies. V. K. Lazarov, R. A. Plass, H-C. Poon, D.K.Saldin, M. Weinert, S. A. Chambers, and
M.Gajdardziska-Josifovska, Phys. Rev. B 71, 115434 (2005).
PI Harold Weitzner
P. Garabedian, Computational mathematics and physics of fusion reactors, Proc. Natl. Acad. Sci. USA { 100} (2003) 13741-13745.
P. Garabedian and M. Meurer, Cavitational flow and magnetohydrodynamics, International Journal of Computational Fluid Dynamics {18} (2004) 413-420.
P. Garabedian and L.-P. Ku, Reactors with stellarator stability and tokamak transport, Fusion Sci. Technol. { 47} (2005) 400-405.
Harold H.R. Strauss, Linjin Zheng, M. Kotschenreuther, W. Park, S. Jardin, J. Breslau, A. Pletzer, Roberto Paccagnella, L. Sugiyama, M. Chu, M. Chance, A. Turnbull, Halo Current and Resistive Wall
Simulations of ITER, Twentieth IAEA Fusion Energy Conference, Villamora, Portugal IAEA-CN-116/TH/2-2 (2004)
G.M. Zaslavsky and M. Edelman, Fractional kinetics: From pseudochaotic dynamics to Maxwell's Demon, Physica D 193, Iss.1-4, p. 128 (2004).
G.M. Zaslavsky and M. Edelman, Fractional dynamics of pseudochaotic systems First Workshop on Fractional Differentiation and its Applications of the International Federation of Automatic Control,
July 19-21, 2004, Bordeaux, France (2004).
G.M. Zaslavsky, B.A. Carreras, V.E. Lynch, L. Garcia, M. Edelman, Topological Instability Along Invariant Surfaces and Pseudochaotic I.P. Smirnov, A.L. Virovlyansky, M. Edelman, G.M. Zaslavsky,
Chaos- induced intensification of wave scattering, Phys. Rev. E, accepted (2005).
G.M. Zaslavsky and M. Edelman, Polynomial Dispersion of Trajectories in Sticky Dynamics, Phys. Rev. E, accepted (2005).
C. S. Chang, S. Ku, H. Weitzner, Numerical Study of neoclassical plasma pedestal in a tokamak geometry, Phys. Plasma 11, 2649 (2004)
H. Weitzner and C. S. Chang, Phys. Plasma 11, 3060 (2004).
R. Maingi, C. S. Chang et al., Effect of gas fueling location on H mode access in NSTX, Plas. Phys. Cont. Fusion (2005)
PI Jack Wells
"Multiscale Simulations of Carbon Nanotube Nucleation and Growth: Electronic Structure Calculations," J. C. Wells, D.W. Noid, B. G. Sumpter, and R. F. Wood, and Q. Zhang, J. Nanosci Nanotech. 4, 414
"Adsorption of a Carbon Atom on the Ni38 Magic Cluster and Three Low-index Nickel Surfaces: a First- Principles, Comparative Study," Q.-M. Zhang, J.C. Wells, X.-G. Gong, and Z. Zhang, Phys. Rev. B
69, 205413 (2004).
"Far-field Modulation of Fluorescence Decay Rates in Pairs of Oriented Semiconducting Polymer Nanostructures," M.D. Barnes, P.S. Krstic, P. Kumar, J.C. Wells, Phys. Rev. B 71, 241303(R) (2005).
"Interaction between benzenedithiolate and gold: classical force field for chemical bonding," D.J. Keffer, P.S. Krstic, Y.-S. Leng, D.J. Dean, P.T. Cummings, and J.C. Wells, J. Chem. Phys. 122,
244721 (2005).
"Two Growth Models of Graphitic Carbon Nanofibers with Herring-bone Structure," I. A. Merkulov, A.V. Meleshko, J.C. Wells, H. Cui, V.I. Merkulov, M.L. Simpson, and D. H. Lowndes, Phys. Rev. B 72,
045409 (2005).
"GMG - A Guaranteed Global Optimization Algorithm: Application to Remote Sensing," C. Delon, V. Protopopescu, J.C. Wells, J. Barhen, Comp. Opt. App. (under review, 2005).
PI Martin White
de Putter R., White M., Using weak lensing to find halo masses, New Astronomy, 10, 676 (2005)
Amblard A., White M., Sunyaev Zeldovich polarization simulation, New Astronomy, 10, 423 (2005)
White M., Reducing the shear, Astroparticle Physics, 23, 354 (2005) Eisenstein D., White M., Theoretical uncertainty in baryon oscillations, Physical Review D, 70, (2004)
Vale C., Amblard A., White M., Cluster lensing of the CMB, New Astronomy, 10, 15 (2004)
White M., Baryons and weak lensing power spectra, Astroparticle Physics, 22, 217 (2004)
Amblard A., Vale C., White M., Weak lensing of the CMB by large-scale structure, New Astronomy, 9, 704 (2004)
White M., Vale C., Simulations of weak gravitational lensing, Astroparticle Physics, 22, 27 (2004)
Vale C., Hoekstra H., van Waerbeke L., White M., Large-Scale Systematic Signals in Weak Lensing Surveys, Astrophysical Journal, 613, L4 (2004)
Vale C., White M., Finding clusters in SZ surveys, to appear in New Astronomy.
Cohn J., White M., The formation histories of galaxy clusters, to appear in Astroparticle Physics.
White M., Baryon oscillations, to appear in Astroparticle Physics.
Linder E., White M., Going nonlinear with dark energy cosmologies, submitted to Phys. Rev. D.
PI James Wiley
L.J. Zheng and M. Kotschenreuther, "AEGIS: An adaptive ideal magnetohydrodynamics shooting code for axisymmetric plasmas", J. Computational Physics, in press (2005).
E. Spencer, W. Horton and I. Doxas, "The Dynamics of Storms and Substorms with the WINDMI Model," Advances in Space Research, in press (2005).
E.G. Evstatiev, W. Horton and P.J. Morrison, "Relativistic multi-wave model for plasma-wave interaction," to appear in Physics of Plasmas, July, 2005.
E.G. Evstatiev, P.J. Morrison, and W. Horton, "A relativistic beam-plasma system with electromagnetic waves," Phys. Plasmas 12, 072108 (2005).
W. Horton, M.J. Mithaiwala, E.A. Spencer, and I. Doxas, "WINDMI, a family of Physics network models for storms and substorms," a chapter in the book Multiscale Coupling of Sun-Earth Processes, ed. by
A.T.Y. Lui, Y. Kamide, and G. Consolini, Elsevier Publ. Co., Amsterdam, The Netherlands, 2005) pp. 431-446.
R. Presura, V.V. Ivanov, Y. Sentoku, V.I. Sotnikov, P.J. Laca, N. Le Galloudec, A. Kemp, R. Mancini, H. Ruhl, A.L. Astanovitskiy, T.E. Cowan, T. Ditmire, C. Chiu, W. Horton, P. Valanju and S. Keely,
"Laboratory Simulation of Magnetospheric Plasma Shocks," Astrophysics and Space Science 298: 299-303 (2005).
W. Horton, C. Chiu, and T. Ditmire, "Laboratory Simulations of Bow Shocks and Magnetospheres," Astrophysics and Space Science 298: 395-401 (2005).
W. Horton, J. C. Perez, T. Carter and R. Bengtson, "Vorticity probes and the characterization of vortices in the Kelvin-Helmholtz instability in the large plasma device experiment," Physics of
Plasmas 12, No. 2, 022303 (2005).
W. Horton, H.V. Wong, P.J. Morrison, A. Wurm, J.H. Kim, J.C. Perez, J. Pratt, G.T. Hoang, B.P. LeBlanc and R. Ball, "Temperature gradient driven electron transport in NSTX and Tore Supra," Nuclear
Fusion 45, 1-10 (2005).
H. Vernon Wong, B.-Y. Xu, W. Horton, J. Pratt, and J.W. Van Dam, "Nonlinear evolution of the firehouse instability in a magnetic dipole geotail geometry," Phys. Plasmas 12, 056502 (2005).
L.J. Zheng and M. Kotschenreuther, "Wall thickness effect on the resistive wall modes in toroidal plasmas", Phys. Plasmas 12, 072504 (2005).
M.J. Mithaiwala and W. Horton, Substorm injections produce sufficient electron energization to account for MeV flux enhancements following some storms, Journal of Geophysical Research, Vol. 110,
A07224, doi: 10.1029/2004JA010511 (2005).
W. Horton, C. Chiu, T. Ditmire, P. Valanju, R. Presura, V.V. Ivanov, Y. Sentoku, V. I. Sotnikov, A. Esaulov, N. Le Galloudec, T. E. Cowan, I. Doxas, Laboratory simulation of magnetospheric plasma
shocks, Adv. in Space Res. doi:10.1016/j.asr.2005.01.087
W. Horton, B-Y. Xu, and H. Vernon Wong, Firehose driven magnetic fluctuations in the magnetosphere, Geophys. Res. Lett., 31, L06807, doi:10.1029/2003GLO18309 (2004).
PI John Wilkins
Impurities block the alpha to omega martensitic transformation in titanium. R.G. Hennig, D.R. Trinkle, J. Bouchet, S.G. Srinivasan, R.C. Albers, and J.W. Wilkins. Nature Materials 4, 129 (2005).
Systematic pathway generation and sorting in martensitic transformations: Titanium alpha to omega. D.R. Trinkle, D.M. Hatch, H.T. Stokes, R.G. Hennig and R.C. Albers. Physical Review B 72, 014105
A new mechanism for the alpha to omega martensitic transformation in pure titanium. D.R. Trinkle, R.G. Hennig, S.G. Srinivasan, D.M. Hatch, M.D. Jones, H.T. Stokes, R.C. Albers, and J.W. Wilkins.
Physical Review Letters 91, 025701 (2003).
Complexity of Small Silicon Self-Interstitial Defects. D.A. Richie, J. Kim, S.A. Barr, K.R. A. Hazzard, R.G. Hennig, and J.W. Wilkins. Physical Review Letters 92, 45501 (2004).
Fast Diffusion Mechanism of Silicon Tri-interstitial Defects. Y. A. Du, S. A. Barr, K. R. A. Hazzard, T. J. Lenosky, R. G. Hennig, and J. W. Wilkins. cond-mat/0503479.
PI Andrew Williamson
F. Reboredo and A.J. Williamson, Optimized nonorthogonal localized orbitals for linear scaling quantum Monte Carlo calculations, Physical Review B 71, 121105(R) (2005).
N. Drummond, A.J. Williamson, R.J. Needs and Giulia Galli, Electron emission from diamondoids: A diffusion quantum Monte Carlo study, Physical Review Letters 95, 096801 (2005).
PI Stan Woosley
``One-Armed Spiral Instability in a Slowly Rotating, Post-Bounce Supernova Core," Christian Ott, Shangli Ou, Joel E. Tohline & Adam Burrows, Astrophys. J., 625, L119, 2005.
``Two-dimensional, Time-dependent, Multi-group, Multi-angle Radiation Hydrodynamics Test Simulation in the Core-Collapse Supernova Context," Livne, E. Burrows, A., Walder, R., Thompson, T.A., &
Lichtenstadt, I., Astrophys. J., 609, 277, 2004.
``Viscosity and Rotation in Core-Collapse Supernovae," Thompson, T.A., Quataert, E. & Burrows, A., Astrophys. J., 620, 861, 2005
``Anisotropies in the Neutrino Fluxes and Heating Profiles in Two-dimensional, Time-dependent, Multi-group Radiation Hydrodynamics Simulations of Rotating Core-Collapse Supernovae," R. Walder, A.
Burrows, C.D. Ott, E. Livne, I. Lichtenstadt, & M. Jarrah, Astrophys. J., 626, 317, 2005.
``Three-dimensional Numerical Simulations of Rayleigh-Taylor Unstable Flames in Type Ia Supernovae," M. Zingale, S.E. Woosley, C.A. Rendleman, M.S. Day, & J. B. Bell, 2005, ApJ, in press.
"Probing the geodynamo," Glatzmaier, G.A. & Olson, P. 2005 Scientific American, 292, 50-57.
"Binary Merger Progenitors for Gamma-Ray Bursts and Hypernovae" Fryer, C. L. and Heger, A., 2005, ApJ, 623, 302
"Diffuse X-rays from the Arches and Quintuplet Clusters" (2005), Rockefeller, G., Fryer, C. L. Melia, F., Wang, Q. D., ApJ, 623, 171
"Binary Merger Progenitors for Gamma-Ray Bursts and Hypernovae" (2005) Fryer, C. L. and Heger, A., ApJ, 623, 302
"Spin-Induced Disk Precession in Sagittarius A*", Rockefeller, G., Fryer, C.L., and Melia, F., accepted by ApJ
"Gravitational Waves from Axisymmetric, Rotating Stellar Core Collapse," Ott, C.D., Burrows, A., Livne, E., & Walder, R. 2004, Astrophys. J., 600, 834, 2004
"Planetary and Stellar Dynamos: Challenges for next generation models," Glatzmaier, G.A. (2005) in "Fluid Dynamics and Dynamos in Astrophysics and Geophysics" eds. A.M. Soward, C.A. Jones, D.W.
Hughes, N.O. Weiss, Chp 11, 331-357 (2005, CRC Press).
PI Ruqian Wu
Ruqian Wu "Electronic and chemical properties of Au nano-particles on oxide substrates with O vacancies", APS bullitin, 2005
Ruqian Wu, "Atomic structures and chemical properties of PdAu bimetallic surfaces and clusters", DOE contractor meeting.
J.X. Cao, X.G. Gong, and Ruqian Wu, "Simulation for the growth of TiO2 on Mo(112) and Au clusters", in final preparation.
J.S. Hong and R.Q Wu, "The Mechanism of Magnetic Ordering and X-ray Magnetic Circular Dichroism of Co-doped ZnO", J. Appl. Phys. 97, 063911 (2005).
D. Wu, D.J. Keavney, Ruqian Wu, E. Johnston-Halperin, D.D. Awschalom, and Jing Shi, "Nearly concentration-independent local Mn configuration in ferromagnetic Ga1-xMnxAs", Phys. Rev. B 71, 153310
J.S. Hong, D.S. Wang and R.Q. Wu, "Carrier induced magnetic ordering control in a digital (Ga,Mn)As structure", Phys. Rev. Lett. 94, 137206 (2005).
J.X. Cao, X.G. Gong and R.Q. Wu, "Adsorption and Segregation of Mn on GaAs(110) from First Principle Studies", Phys. Rev. B, in press.
R.Q. Wu "Nature of Mn Induced Spin Polarization and Magnetic Circular Dichroism of Ga1-xMnxAs", Phys. Rev. Lett. 94, 207201 (2005).
R.Q. Wu, "Perspective of Fundamental Research for Nanomagnetism", edited by J.A.C. Bland and D.L. Mills, (Elsevier, 2005).
R.Q. Wu, "Theory of Magnetocrystalline Anisotropy and Magneto-elasticity and Related Phenomena- Transition Metals", edited by H. Kronmller and S. Parkin, (John Wiley & Sons, 2005).
PI Donald Wuebbles
Forster, P. M., J. B. Burkholder, C. Clerbaux, P. F. Coheur, M. Dutta, L. K. Gohar, M. D. Hurley, G. Myhre, R. W. Portmann, A. Ravishankara, K. P Shine, T. J. Wallington, and D. Wuebbles, 2004:
Resolving uncertainties in the radiative forcing of HFC-134a, J. Quant. Spec. Rad. Trans., DOI:10.1016/j.jqsrt.2004.08.038.
Naik, V., C. Delire, D. J. Wuebbles, 2004: The sensitivity of global isoprenoid emissions to climate variability and atmospheric CO2. J. Geophys. Res., 109, doi: 10.1029/2003JD004236.
Tao, Z., S. M. Larson, D. J. Wuebbles, A. Williams, and M. Caughey, 2004: Sensitivity of regional ozone to temporal distributions of emissions. Atmos. Environ., 38/37, 6279-6285, doi: 10.1016/
Wuebbles, D. J., and K. Hayhoe, 2004: Climate change in the Midwest: informing regional policy decisions. Mitigation and Adaptation Strategies for Global Change, 9, 335-363.
Guillas, S., M. L. Stein, D. J. Wuebbles and J. Xia, 2005: Using chemical-transport modeling in statistical analysis of stratospheric ozone trends from observations. J. Geophys. Res., in press.
Reinsel, G. R., A. J. Miller, L.E. Flynn, R. M. Nagatani, G. C. Tiao, E. C. Weatherhead, and D. J. Wuebbles 2005: Trend analysis of total ozone data for turnaround and dynamical contributions. J.
Geophys. Res., in press.
Tao, Z., S. M. Larson, A. Williams, M. Caughey and D. J. Wuebbles, 2005: Area, mobile, and point source contributions to ground level ozone: a summer simulation across the continental USA. Atmos.
Environ., 39, 1869-1877.
Wei, C.-F., V. R. Kotamarthi, and D. J. Wuebbles, 2005: Episodic events of long-range transport of biomass into the Southern tropical Pacific Ocean during PEM-Tropics A period. J. Geophys. Res., in
PI Wei Yang
W. Yang, R. Bitetti?Putzer, and M. Karplus, Free energy simulations: Use of reverse cumulative averaging to determine the equilibrated region and the time required for convergence, J. Chem. Phys.
120, 2618?2628 (2004).
W. Yang, R. Bitetti?Putzer, and M. Karplus, Chaperoned alchemical free energy simulations: A general method for QM, MM, and QM/MM potentials, J. Chem. Phys. 120, 9450?9453 (2004).
Y. Q. Gao, W. Yang, R. A. Marcus, and M. Karplus, A model for the cooperative free energy transduction and kinetics of ATP hydrolysis by F1?ATPase, Proc. Natl. Acad. Sci. USA 100, 11339?11344 (2003).
Bitetti-Putzer, R., Dinner, A. R., Yang W., and Karplus, M. submitted. Conformational sampling via a self-regulating effective energy surface. J. Chem. Phys.
Banerjee, A.*, Yang, W.*, Karplus, M., and Verdine, G. L. 2005. Structure of hOGG1 interrogating undamaged DNA elucidates recognition of damaged DNA, Nature 434:612-618.
Gao, Y. Q.*, Yang, W.*, and Karplus, M. in press. A structure-based model for synthesis and hydrolysis of ATP by F1-ATPase, Cell
Yang, W., Gao, Y. Q., Cui, Q., Ma, J., and Karplus, M. 2003. The missing link between thermodynamics and structure in F1-ATPase. Proc. Natl. Acad. Sci. USA 100, 874-879.
PI David Yarkony
"Beyond two-state conical intersections. Three-state conical intersections in low symmetry molecules: the allyl radical." Matsika,S.,Yarkony,D.R. Journal of the American Chemical Society. vol 125,
pg. 10672-10676.
" Accidental conical intersections of three states of the same symmetry. I. Location and relevance." Matsika,S., Yarkony, D.R. Journal of Chemical Physics. vol. 117. pg. 6907-6910.
PI Katherine Yelick
Amir Kamil, Jimmy Su, and Katherine Yelick, "Making Sequential Consistency Practical in Titanium." Supercomputing 2005 (SC|05), Seattle, Washington, November 2005. To appear.
Amir Kamil and Katherine Yelick, "Concurrency Analysis for Parallel Programs with Textually Aligned Barriers." 18th International Workshop on Languages and Compilers for Parallel Computing,
Hawthorne, New York, October 2005.
Kaushik Datta, Dan Bonachea and Katherine Yelick. "Titanium Performance and Potential: an NPB Experimental Study." Languages and Compilers for Parallel Computing (LCPC), Hawthorne, New York, October
W.-Y. Chen, C. Iancu, and K. Yelick, "Communication Optimizations for Fine-grained UPC Applications," 14th International Conferences on Parallel Architectures and Compilation Techniques (PACT '05),
St. Louis, MO, Sept. 17-21, 2005.
S. Kamil, P. Husbands, J. Shalf, L. Oliker, K. Yelick, "Impact of Modern Memory Subsystems on Cache Optimizations for Stencil Computations," 3rd Annual ACM SIGPLAN Workshop on Memory Systems
Performance, June 2005.
J. Su and K. Yelick, "Automatic Support for Irregular Computations in a High-Level Language," 19th International Parallel and Distributed Processing Symposium (IPDPS), Denver, Colarado, April 2005.
Tong Wen and Phillip Colella. "Adaptive Mesh Refinement in Titanium," 19th International Parallel and Distributed Processing Symposium (IPDPS), December 2005.
PI Pui-kuen Yeung
Donzis, D.A., Sreenivasan, K.R. and Yeung, P.K. (2005) Scalar dissipation rate and Dissipative anomaly in isotropic turbulence. Journal of Fluid Mechanics Vol. 532, 199-216.
Yeung, P.K., Donzis, D.A. and Sreenivasan, K.R. (2005) High-Reynolds-number simulation of inertial-convective range in turbulent mixing. Physics of Fluids Vol. 17, 081703.
Donzis, D.A., Yeung, P.K. and Sreenivasan, K.R. (2004) Scaling and domain size effects in numerical simulations of rotating turbulence. Bulletin of the American Physical Society, Vol 49, No. 9, 193.
Yeung, P.K., Donzis, D.A. and Sreenivasan, K.R. (2004) Turbulence and scalar transport in numerical simulations of $2048^3$ resolution. Bulletin of the American Physical Society, Vol 49, No. 9, 22.
PI Peter Zapol
M. Sternberg, D. A. Horner, P. C. Redfern, P. Zapol, L. A. Curtiss Theoretical Studies of CN and C2 Addition to a (100)-(2x1) Diamond Surface: Nanocrystalline Diamond Growth Mechanisms (Invited) J.
Theor. Comp. Nanosci. 2 (2005, in press).
M. Sternberg, P. Zapol, and L. A. Curtiss "C2 Adsorption on the (100) diamond surface: Cluster and periodic calculations", Molecular Physics, 103, 1017-1025 (2005).
PI Shengbai Zhang
"Hydrogen passivation effect in nitrogen-doped ZnO thin film", X. Li et al., Appl. Phys. Lett. 86, 122107 (2005).
"Resolving hydrogen binding sites by pressure - A first-principles prediction for ZnO", S. Limpijumnong and S. B. Zhang, Appl. Phys. Lett. 86, 151910 (2005).
"Substitutional diatomic molecule NO, NC, CO, N2, and O2, their vibrational frequencies, and the effects on p-doping of ZnO", S. Limpijumnong, X. Li, S.-H. Wei, and S. B. Zhang, Appl. Phys. Lett. 86,
211910 (2005).
"Structure-derived electronic and optical properties of transparent conducting oxides", D. Segev and S.-H. Wei, Phys. Rev. B 71, 125129 (2005).
"Properties of Ga-interstitial defects in (Al)GaNP", N.Q. Thinh et al., Phys. Rev. B 71, 125209 (2005).
"Evolution of structural properties and formation of N-N split interstitials in GaAsN alloys", P. Carrier, S.-H. Wei, S. B. Zhang, and S. Kurtz, Phys. Rev. B 71, 165212 (2005).
"Hydrogen pairs and local vibrational modes in H-irradiated GaAs:N", M.-H. Du, S. Limpijumnong, S. B. Zhang, Phys. Rev. B 72, 073202 (2005).
"Stability of the DX- center in GaAs Quantum Dots", J. Li and S.-H. Wei, Phys. Rev. Lett. 94, 185501 (2005).
"Local moments of Mn-doped magnetic semiconductors", S.-H. Wei, X. G. Gong, G. M. Dalpian, and S.-H. Wei, Phys. Rev. B 71, 144409 (2005).
"Step structures on III-V phosphide (001) surfaces: How do steps and Sb affect CuPt ordering of GaInP2?", I. G. Batyrev, W. E. McMahon, S. B. Zhang, J. M. Olson, and S.-H. Wei, Phys. Rev. Lett. 94,
096101 (2005).
PI Zhenyu Zhang
Persistent Step-Flow Growth of Strained Films on Vicinal Substrates, Wei Hong, Ho Nyung Lee, Mina Yoon, Hans M. Christen, Douglas H. Lowndes, Zhigang Suo, and Zhenyu Zhang, Phys. Rev. Lett. 95,
095501 (2005).
Kinetic pathway for the formation of Fe nanowires on stepped Cu(111) surfaces, Yina Mo, Kalman Varga, Efthimios Kaxiras, Zhenyu Zhang, Phys. Rev. Lett. 94, 155503 (2005).
Initial stages of Ti growth on diamond (100) surfaces: From single adatom diffusion to quantum wire formation, Jia Y, Zhu WG, Wang EG, Huo YP, Zhang ZY, Phys. Rev. Lett. 94, 086101 (2005).
"Lagrange functions": A family of powerful basis sets for real-space order-N electronic structure calculations, Varga K, Zhang ZY, Pantelides ST, Phys. Rev. Lett. 93, 176403 (2004).
Contrasting growth modes of Mn on Ge(100) and Ge(111) surfaces: Subsurface segregation versus intermixing, Zhu WG, Weitering HH, Wang EG, Kaxiras E, Zhang ZY, Phys. Rev. Lett. 93, 126102 (2004).
PI Oleg Zikanov
O. Zikanov and A. Vorobev, 2005, "LES modeling of anisotropic MHD turbulence"in proc. of Riga- Pamir conference on fundamental and applied MHD, Riga, June 2005, pp. 167-170
A. Vorobev and O. Zikanov, 2005, "Anisotropic MHD turbulence at low magnetic Reynolds number," in proc. TSFP-4, Williamsburg, VA, June 2005, pp. 524.
PI Alex Zunger
G. Bester, J. Shumway and A. Zunger, Broken-Symmetry and Quantum Entanglement of an exciton in InGaAs/GaAs Quantum Dot Molecules, Phys. Rev. B 71, 075325 (2005).
G. Bester and A. Zunger, Electric field control and optical signature of entanglement in quantum dot molecules. Physical Review B (In press).
G. Bester and A. Zunger, Cylindrically shaped zinc-blende semiconductor quantum dots do not have cylindrical symmetry: Atomistic symmetry, atomic relaxation, and piezoelectric effects, Phys. Rev. B
71, 045318 (2005).
L. He, G. Bester and A. Zunger, Electronic asymmetry in self-assembled quantum dot-molecules made of identical InAs/GaAs quantum dot, Physical Review B, Rapid Communication, 72, 081311(R) (2005).
G. A. Narvaez, G. Bester, A. Zunger, ``Pressure effects on neutral and charged excitons in self-assembled (In,Ga)As/GaAs quantum dots", Phys. Rev. B, Rapid Communication, 72, 041307 (2005).
G. A. Narvaez, G. Bester, A. Zunger, ``Dependence of the electronic structure of self-assembled InGaAs/GaAs quantum dots on height and composition," J. Appl. Phys. (In Press).
S.V. Dudiy, P. Kent and A. Zunger, "Penetration of electronic perturbations in dilute nitrogen impurities deep into the conduction band of GaPN", Phys. Rev. B, Rapid Communication, 70, 161304 (2004)
V. Blum and A. Zunger "Prediction of ordered structures in bcc binary systems" Phys. Rev. B, Rapid Communications, 72, 020104 (2005)
G. Hart, V. Blum, M. Walorski and A. Zunger, "Genetic determination of first-principles Hamiltonians", Nature Materials 4, 391 (2005)
V. Blum, G. Hart, M. J. Walorski and A. Zunger, "Using genetic algorithm to map first-principles results to model hamiltonians", Phys. Rev. B (In Press).
A. Zunger, S. Dudiy, K. Kim and W.B. Jones, "The Inverse Band Structure approach: find the atomic configuration that has desired electronic properties", ICPS proceedings, AIP Conf. Series Vol. 772,
p. 1121 (2005).
PI Piotr Zyla
"Observation of Parity Violation in the Omega-minus -> Lambda K-minus Decay", HyperCP Collab., Phys. Lett. B617, 11 (2005);
"HyperCP: A high-rate spectrometer for the study of charged hyperon and kaon decays", HyperCP Collab., Nucl. Instrum. Methods A 541, 516 (2005);
"Search for Delta-S = 2 Nonleptonic Hyperon Decays", HyperCP Collab., Phys. Rev. Lett. 94 101804 (2005);
"Search for CP Violation in Xi and Lambda Hyperon Decays", HyperCP Collab., Phys. Rev. Lett. 93, 262001 (2004)
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Conference on Nonparametric Statistics and Statistical Learning
Blackwell Inn, The Ohio State University, Columbus, OH May 19 - 22, 2010
May 20 (Thursday)
9:00-10:00am Plenary Talk
Ballroom Ronald Randles (University of Florida)
Robustness of Location Estimators to Distortion
Robustness of affine equivariant location estimators is described relative to a model which creates infinitesimal distortion of a symmetric distribution. The model for distortion is
based upon a class of distributions introduced by Fechner (1897). Properties of estimators are compared and contrasted in terms of their sensitivity to this type of distortion. This
work is coauthored with Demetris Athienitis.
10:30am-12:00pm Parallel Sessions
Ballroom Data Mining (Invited)
Lacey Gunter
Variable selection for decision making
I will address the topic of variable selection for decision making with a focus on decisions regarding when to provide treatment and which treatment to provide. Current variable
selection techniques were developed for use in a supervised learning setting where the goal is a prediction of the response. These techniques often downplay the importance of
interaction variables that have small predictive ability but that are critical when the ultimate goal is decision making rather than prediction. Two new techniques will be proposed
which are designed specifically to find variables that aid in decision making. Simulation results are given, along with an application of the methods on data from a randomized
controlled trial for the treatment of depression.
Kevin Killourhy (Carnegie Mellon University)
Cherry-picking for complex data: robust structure discovery
Complex data often arise as a superposition of data generated from several simpler models. The traditional strategy for such cases is to use mixture modeling, but it can be
problematic, especially in higher dimensions. In this talk, I consider an alternative approach, emphasizing data exploration and robustness to model misspecification. I will focus on
a problem in cluster analysis with promising implications for computer security, and I will also consider applications of this strategy to problems in regression and multidimensional
scaling. The talk is comprised of work done in collaboration with David L. Banks and Leanna House.
Yichao Wu (North Carolina State University)
Non-crossing large-margin probability estimation and its application to robust SVM via preconditioning
Many large-margin classifiers such as the Support Vector Machine (SVM) sidestep estimating conditional class probabilities and target the discovery of classification boundaries
directly. However, estimation of conditional class probabilities can be useful in many applications. Wang, Shen and Liu [J. Wang, X. Shen, Y. Liu, Probability estimation for large
margin classifiers, Biometrika 95 (2008) 149-167] bridged the gap by providing an interval estimator of the conditional class probability via bracketing. The interval estimator was
achieved by applying different weights to positive and negative classes and training the corresponding weighted large-margin classifiers. They propose to estimate the weighted
large-margin classifiers individually. However, empirically the individually estimated classification boundaries may suffer from crossing each other even though, theoretically, they
should not. In this work, we propose a technique to ensure non-crossing of the estimated classification boundaries. Furthermore, we take advantage of the estimated conditional class
probabilities to precondition our training data. The standard SVM is then applied to the preconditioned training data to achieve robustness. Simulations and real data are used to
illustrate their finite sample performance.
Pfahl 140 Rank Based Methods (Invited)
Somnath Datta (University of Louisville)
Rank Tests for Clustered Paired Data When the Cluster Size is Potentially Informative
Rank based tests are alternatives to likelihood based tests popularized by their relative robustness and underlying elegant mathematical theory. There has been a serge in research
activities in this area in recent years since a number of researchers are working to develop and extend rank based procedures to clustered dependent data which include situations with
known correlation structures (e.g., as in mixed effects models) as well as more general form of dependence. In this talk, we consider the problem of testing the symmetry of a marginal
distribution of paired differences under clustered data. However, unlike most other work in the area, we consider the possibility that the cluster size is a random variable that is
statistically dependent on the variable of interest within a cluster. This situation typically arises when the clusters are defined in a natural way (e.g, not determined by the
experimenter) and in which the size of the cluster may carry information about the distribution of data values within a cluster.
Denis Larocque (HEC Montreal)
Nonparametric Methods and Trees for Multiple Mixed Outcomes
Over the years, many nonparametric methods for multivariate outcomes have been proposed. These include coordinate-wise and spatial rank and sign methods and others based on different
notions of depth. But these methods are aimed at the situation where all outcomes are continuous. In this talk, we will present new methods specifically designed for mixed outcomes,
where some outcomes are categorical and others are continuous. In particular, we will discuss the two-sample testing problem with mixed outcomes and also present a recursive
partitioning method for mixed outcomes. Parts of this talk are based on joint work with François Bellavance (HEC Montreal), Abdessamad Dine (HEC Montreal), Jaakko Nevalainen
(University of Turku) and Hannu Oja (University of Tampere).
Davy Paindaveine (Université Libre de Bruxelles)
Rank tests for principal component analysis
We construct parametric and rank-based optimal tests for eigenvectors and eigenvalues of covariance or scatter matrices in elliptical families. The parametric tests extend the
Gaussian likelihood ratio tests of Anderson (1963) and their pseudo-Gaussian robustifications by Davis (1977) and Tyler (1981, 1983), with which their Gaussian versions are shown to
coincide, asymptotically, under Gaussian or finite fourth-order moment assumptions, respectively. Such assumptions however restrict the scope to covariance-based principal component
analysis. The rank-based tests we are proposing remain valid without such assumptions. Hence, they address a much broader class of problems, where covariance matrices need not exist
and principal components are associated with more general scatter matrices. Asymptotic relative efficiencies moreover show that those rank-based tests are quite powerful; when based
on van der Waerden or normal scores, they even uniformly dominate the pseudo-Gaussian versions of Anderson's procedures. The tests we are proposing thus outperform daily practice both
from the point of view of validity as from the point of view of efficiency. The main methodological tool throughout is Le Cam's theory of locally asymptotically normal experiments, in
the nonstandard context, however, of a "curved" parametrization. This is joint work with Marc Hallin (Université Libre de Bruxelles) and Thomas Verdebout (Université Lille III).
Pfahl 202 Variable Selection (Contributed)
Chris Hans (The Ohio State University)
Penalized Regression via Orthant Normal Priors
Motivated by penalized optimization approaches to variable selection and parameter estimation, this paper introduces a new class of prior distributions -- the orthant normal
distribution -- for the regression coefficients in a Bayesian regression model. Parameter estimates based on penalized optimization are often interpreted as the mode of a Bayesian
posterior distribution. We show that the orthant normal distribution is the prior that gives rise to the elastic net estimate and, in a limiting case, the lasso. By providing a
complete characterization of this prior, we allow for model-based inference that moves beyond exclusive use of the posterior mode, including coherent Bayesian prediction and formal
Bayesian model comparison. In contrast to penalized optimization procedures (where the penalty parameter is often selected via a potentially unstable cross validation), the Bayesian
approach allows for uncertainty about these parameters to be included in the model, or, alternatively, allows the parameters to be selected via the method of maximum marginal
likelihood. We show that the orthant normal distribution has a scale-mixture of normals representation, providing additional insight into the particular form of shrinkage employed by
the elastic net. Posterior inference is achieved via MCMC. This model-based approach to elastic net regression has the advantage that the basic model can be extended to accommodate
more complex regression settings. Models can be built that include random effects to capture various covariance structures while at the same time inducing elastic-net-like shrinkage
on the regression coefficients. We discuss approaches for incorporating prior information about dependence structure in the covariates that resemble Zellner's g-prior but that allow
for lasso-like shrinkage.
Woncheol Jang (University of Georgia)
Hexagonal Operator for Regression with Shrinkage and Equality Selection: HORSES
We propose a new method called HORSES (Hexagonal Operator for Regression with Shrinkage and Equality Selection) which performs variable selection for regression with positively
correlated predictors. Like other penalized approaches, the HORSES estimator can be computed via a constrained least-squares problem. Our penalty terms compromise between the L1
penalty for the coefficients and another L1 penalty for pairwise differences of coefficients. This is joint work with Johan Lim.
Xingye Qiao (University of North Carolina at Chapel Hill)
Pairwise Variable Selection for Classification
While traditional marginal variable selection methods have the merits of convenient implementation and good interpretability, they do not take the joint effects among variables into
account. In some situations, variables which have strong joint effects can be passed over by marginal methods because of their small marginal effects. In the context of binary
classification in supervised learning, we develop a novel method of pairwise variable selection, based on a within-class permutation test to evaluate the statistical significance of
joint effects. Moreover, we introduce a new notion of variable selection quality, bivariate False Discovery Rate (biFDR), and provide an estimation procedure for biFDR. A simulated
example and a real data application are analyzed to demonstrate the usefulness of the proposed approach. This is a joint work with Yufeng Liu and J. S. Marron.
Kukatharmini Tharmaratnam (Katholieke Universiteit Leuven)
Robust version of the AIC based on M, S and MM estimators for variable selection in semiparametric mixed models
Variable selection in the presence of outliers may be performed by using a robust version of Akaike's information criterion AIC. In the first part explicit expressions are obtained
for such criteria when S and MM estimators are used. In addition, a version of AIC based on robust quasi-likelihood M-estimation is included. The performance of these criteria is
compared to the existing AIC based on M estimators and the classical non-robust AIC. In the second part we consider semiparametric models fitted by robust penalized regression splines
using a mixed model representation. We develop a robust AIC to select both parametric and non-parametric components in such semiparametric mixed models and compare with a non-robust
AIC. This work is co-authored by K. Tharmaratnam and G. Claeskens.
1:30-2:30pm Plenary Talk
Ballroom David Madigan (Columbia University)
Statistical Methods in Drug Safety
The pharmaceutical industry and regulatory agencies rely on various data sources to ensure the safety of licensed drugs. Recent high profile drug withdrawals have led to increased
scrutiny of this activity. Many statistical challenges arise in this context. This talk will describe some of these data sources and the challenges they present, focusing especially
on newer large-scale data analyses.
2:45-4:15pm Parallel Sessions
Ballroom Federal Statistics (Invited)
John Eltinge (U.S. Bureau of Labor Statistics)
Three Classes of Open Questions in the Application of Nonparametric Regression and Machine Learning Methods to Sample Surveys
This paper reviews standard approaches to the use of auxiliary data in survey sampling, and then outlines three areas for potential extensions based on nonparametric regression and
machine learning methods. (1) Diagnostics for sample design and weighting. (2) Integration of sample survey data with large amounts of administrative-record data. (3) Disclosure
limitation. We consider these issues in the context of both standard inference for univariate estimands, and more realistic settings that involve a large number of estimands and a
large number of stakeholders. These issues lead to some extensions of large-sample and small-deviation approximation methods for complex survey data. We explore these topics in the
context of the U.S. Consumer Expenditure Survey.
Leming Shi (U.S. Food and Drug Administration)
Personalized Medicine: Genomics, Bioinformatics, and the FDA-led MAQC Project
Personalized medicine depends on reliable tools in genomics and bioinformatics. The MicroArray Quality Control (MAQC) project was originally launched by the US Food and Drug
Administration (FDA) in 2005 to address concerns about the reliability of microarray technologies as well as bioinformatic data analysis issues (http://edkb.fda.gov/MAQC/). The first
phase of MAQC (MAQC-I) evaluated technical performance of various microarray gene expression platforms and assessed advantages and limitations of competing data analysis methods for
identifying differentially expressed genes or potential biomarkers (http://www.nature.com/nbt/focus/maqc/). MAQC-II aimed to reach consensus on "best practices" of developing and
validating microarray-based predictive models for preclinical and clinical applications such as the prediction of outcomes of patients with breast cancer, multiple myeloma, or
neuroblastoma. MAQC-III (SEQC) is evaluating technical performance and addressing bioinformatic challenges of next-generation sequencing in transcriptome and exome analyses. The MAQC
project is expected to enhance our capabilities of understanding, predicting, and preventing serious adverse drug reactions via patient-specific genomic information (MAQC-IV or
PADRE), helping FDA fulfill its mission of protecting consumers and promoting public health. Disclaimer: Views expressed in this presentation are those of the presenter and not
necessarily those of the US FDA.
William Winkler (Census Bureau)
Machine Learning for Record Linkage, Text Categorization, and Edit/Imputation
Machine learning methods have been applied in statistical agencies. The initial application was using the EM algorithm for naïve Bayes and general Bayesian networks to obtain
'optimal' record linkage parameters without training data. The methods were used for production software during three Decennial Censuses. Optimal parameters vary significantly across
approximately 500 regions for the U.S. and reduce clerical review by 2/3 in comparison with crude but knowledgeable guesses of parameters. A minor modification of the record linkage
model can be used for semi-supervised learning for text categorization and extended to a generalization of boosting in which better models (general Bayes networks) involving
increasing amounts of interactions between terms are learned. Finally, similar theory and the same computational algorithms (that are as much as 100 times as fast as algorithms in
commercial software) can be adapted for learning edit/imputation models that account for edits (i.e., structural zeros such as a child of less than 16 cannot be married) and preserve
joint distributions in a principled manner. Because the models are a complete probability structure, imputation and estimation of imputation variance are straightforward using
variants of the modeling algorithms.
Pfahl 140 Statistical Learning (Invited)
Chunming Zhang (University of Wisconsin-Madison)
High-Dimensional Regression and Classification Under A Class of Convex Loss Functions
We investigate applications of the adaptive Lasso to high-dimensional models for regression and classification under a wide class of loss functions. We show that for the dimension
growing nearly exponentially with the sample size, the resulting adaptive Lasso estimator possesses the oracle property for suitable weights. Moreover, we propose two methods, called
CR and PCR, for estimating weights. Theoretical advantages of PCR over CR are analyzed. In addition, the adaptive Lasso classifier is shown to be consistent. Simulation studies
demonstrate the advantage of PCR over CR in both regression and classification. The effectiveness of the proposed method is illustrated using real data sets.
Yongdai Kim (Seoul National University)
On model selection criteria for high dimensional models
I will talk about model selection criteria for high dimensional regression models where the number of covariates is much larger than the sample size. I will give a class of model
selection criteria which are consistent. Also, I will discuss about the minimax optimality of various model selection criteria on high dimensions.
Yufeng Liu (University of North Carolina at Chapel Hill)
Bi-Directional Discrimination
Linear classifiers are very popular, but can suffer some serious limitations when the classes have distinct sub-populations. General nonlinear classifiers can give improved
classification error rates, but do not give clear interpretation of the results. In this talk, we propose the Bi-Directional Discrimination (BDD) classification method which
generalizes the classifier from one hyperplane to two hyperplanes. This gives much of flexibility of a general nonlinear classifier while maintaining the interpretability of linear
classifiers. The performance and usefulness of the proposed method are assessed using asymptotics, and demonstrated through analysis of simulated and real data. This talk is based on
joint work with Hanwen Huang and J. S. Marron.
Pfahl 202 Nonparametric Tests (Contributed)
Stephen Bamattre (The Ohio State University)
Temporal stability of association between two variables within an enduring subpopulation
The tau-path is a technique to detect monotone associations between a pair of variables in an unspecified subpopulation. Using the Mallows model for rankings, the method is extended
to estimate the temporal stability of observed subpopulations. This procedure is applied to a marketing data set from Nationwide Insurance to discover pairs of variables for which
over time there is a stable association within an enduring subpopulation. Examples include the screening of predictor variables for use in geographically targeted models, without
fixing the regions of interest beforehand.
Dean Barron (Twobluecats.com)
A two sample test based on rotationally superimposable permutations
Weaknesses in Kolmogoroff Smirnoff (KS) have been described; data which exploits these may result in incorrect statistical conclusions. For the two sample case, when all the
observations from the first population appear consecutively and are ranked lowest, KS is statistically significant (D = 1, n>= 8). However, when these are ranked in the middle, KS is
not statistically significant (D~0.5, n<= 32). Intuitively, though, both situations reflect different underlying populations. An approach that addresses this, pawprint (PP), is
introduced, which groups together rotationally superimposable permutations. The maximum KS value found within each group replaces its individual KS values, forming a new table with
different critical values. Samples are drawn from a dataset to contrast and illustrate.
Yanling Hu (University of Kentucky)
Censored Empirical Likelihood with Over-determined Hazard-type Constraints
Qin and Lawless (1994) studied the empirical likelihood method with estimating equations. They obtained very nice asymptotic properties especially when the number of estimation
equations are larger than the number of parameters (over determined case). We study here a parallel setup to Qin and Lawless but uses a hazard-type empirical likelihood function and
hazard-type estimating equations. The advantage of using hazard is that censored data can be handled easily. We obtained similar asymptotic results for the maximum empirical
likelihood estimator and the empirical likelihood ratio test, also for the over determined case. Two examples are provided to demonstrate the potential application of the result.
Mohamed Mahmoud (Al- Azhar University)
Non-parametric Testing for Exponentiality Against NBRUE Class of life Distributions Based on Laplace Transform
The main theme of this paper is to proposed a new test for exponentiality against new better than renewal used in expectation (NBRUE) based on Laplace transform. The asymptotic
property of this test is studied and the Pitman's asymptotic efficiencies of it for three alternatives are calculated and compared with other tests for exponentiality. The critical
values of this test are also calculated and tabulated for sample size n = 5(1) 50 as well as its power is estimated for some alternatives, which are used in reliability, using
simulation study. Finally the test is applied to some real data. This work is co-authored by M. A. W. Mahmoud and M. H. S. Al-Loqmani.
4:30-5:30pm Plenary Talk
Ballroom Michael Jordan (University of California, Berkeley)
Completely Random Measures, Hierarchies, and Nesting in Bayesian Nonparametrics
Bayesian nonparametric modeling and inference are based on using general stochastic processes as prior distributions. Despite the great generality of this definition, the great
majority of the work in Bayesian nonparametrics is based on only two stochastic processes: the Gaussian process and the Dirichlet process. Motivated by the needs of applications, I
present a broader approach to Bayesian nonparametrics in which priors are obtained from a class of stochastic processes known as "completely random measures" (Kingman, 1967). In
particular I will present models based on the beta process, the Bernoulli process, the gamma process and the Dirichlet process, and on hierarchical and nesting constructions that use
these basic stochastic processes as building blocks. I will discuss applications of these models to several problem domains, including protein structural modeling, computational
vision, natural language processing and statistical genetics.
May 21 (Friday)
8:30-10:00am Parallel Sessions
Ballroom Nonparametric Bayes Methods (Invited)
Wesley Johnson (UC Irvine)
Bayesian Semi-parametric Methods in Biostatistics: Selective Update
We review some recent developments in the application of Bayesian nonparametric methodology to semi-parametric problems in the areas of receiver operating characteristic curve
estimation, survival analysis, modeling longitudinal data and jointly modeling longitudinal and survival data. We begin with a brief review of Mixtures of Polya Trees and Dirichlet
Process Mixtures, followed by illustrations based on real data. An emphasis is given to selecting among classes of semi-parametric models eg. in survival analysis with time dependent
covariates, we may wish to choose among proportional hazards, proportional odds and Cox and Oaks accelerated failure time models.
Luis Nieto-Barajas (ITAM)
A Markov gamma random field for modeling respiratory infections in Mexico
In this talk we present a Markov gamma random field prior for modeling relative risks in disease mapping data. This prior process allows for a different dependence effect with different
neighbors. We describe the properties of the prior process and derive posterior distributions. The model is extended to cope with covariates and a data set of respiratory infections of
children in Mexico is used as an illustration.
Marina Vannucci (Rice University)
Spiked Priors for High-Dimensional Data
This talk will address parametric and nonparametric prior models for variable selection in high-dimensional settings. Linear models and generalized settings that allow for nonlinear
interactions will be considered. Inferential strategies will be discussed. Applications will be to simulated data and real data with a large number of variables.
Pfahl 140 Statistical Learning (Invited)
Robert Krafty (University of Pittsburgh)
Canonical Correlation Analysis of Spectral and Multivariate Cross-Sectional Data
In many studies, stationary time series data and cross-sectional outcomes are collected from several independent units. Often the primary goal of the study to quantify the association
between the cross-sectional outcomes and the second order spectral properties of the time series. This article addresses this question by introducing a data driven procedure for
performing a canonical correlation analysis (CCA) between the log-spectra and cross-sectional outcomes. The isometry between the Hilbert space of linear combinations of a second order
stochastic process and the reproducing kernel Hilbert space generated by its covariance kernel allows for a formulation of CCA whose canonical correlates and weight functions can be
estimated via estimates of the covariance kernel of the log-spectra and cross-covariance kernel between the log-spectra and cross-sectional data. A penalized Whittle-likelihood based
procedure is offered for obtaining method-of-moments type estimates of the mean log-spectra, the covariance kernel of the log-spectra, and the cross-covariance kernel. A new criterion
for the selection of smoothing parameters to optimally estimate the linear relationship between the log-spectra and cross-sectional outcomes is introduced. This criterion minimizes the
conditional Kullback-Leibler distance between the unit-specific log-spectra and the best linear unbiased predictors of the unit-specific log-spectra from the cross-sectional outcomes
and log-periodograms under the estimated covariance structure. The proposed CCA procedure is used to analyze the association between the heart rate variability power spectrum during
sleep and multiple measures of sleep.
Hernando Ombao (Brown University)
Functional Connectivity as a Potential Biomarker for Classification
In this talk, we will discuss models that use functional connectivity as a potential biomarker for classification. This work is motivated by the HAND experiment where participants moved
the joystick either to the left or to the right upon instruction. The goal is determine the time-frequency network in the multi-channel EEG signals that could discriminate between left
and right movements and also predict or classify future movements based on a single-trial multi-channel EEG. We first enumerate some potential measures of connectivity in a brain
network, namely, partial coherence and mutual information. Next, we discuss methods for estimating the network. One of the key statistical challenges is that partial coherence estimates
are typically obtained by inverting the spectral density matrix which may be near-singular especially when the time series in the network exhibit a high degree of cross-correlation. To
avoid numerical instability, we estimate the spectral density matrix via a shrinkage procedure which is a weighted average of an initial periodogram estimator and a simple parametric
estimator (e.g., based on the vector AR model). The shrinkage estimator is more computationally stable than the classical smoothed periodogram and gives a lower mean-squared error than
the multi-taper method and kernel-smoothing approaches. The method will be applied to EEGs recorded during a visuo-motor experiment.
Raquel Prado (UC Santa Cruz)
Models and algorithms for on-line detection of cognitive fatigue
This work is motivated by the analysis of multiple brain signals recorded during an experiment that aimed to characterize mental fatigue in real time. The recorded brain signals can be
modeled via mixtures of autoregressive (AR) processes and state-space autoregressions with structured priors on the AR coefficients. Such prior structure allows researchers to
incorporate scientifically meaningful information related to various states of mental alertness. We focus on the implementation of sequential Monte Carlo methods for on-line parameter
learning and filtering. We illustrate how the AR-based models can be used to describe electroencephalographic signals recorded from a subject who performed basic arithmetic calculations
continuously for a period of three hours.
Pfahl 202 Density Estimation (Contributed)
José E. Chacón (Departamento de Matematicas, Universidad de Extremadura)
Unconstrained bandwidth matrices for multivariate kernel estimation of the density and density derivatives
Multivariate kernel estimation is an important technique in exploratory data analysis. The crucial factor which determines the performance of kernel estimation is the bandwidth matrix.
Research in finding optimal bandwidth matrices began with restricted parametrizations of the bandwidth matrix which mimic univariate selectors. Progressively these restrictions were
relaxed to develop more flexible procedures. A major obstacle for progress has been the intractability of the matrix analysis when treating higher order multivariate derivatives. With
an alternative vectorization of these higher order derivatives, these mathematical intractabilities can be surmounted in an elegant and unified framework. In this paper we present some
recent advances on the use of unconstrained bandwidth matrices for multivariate kernel estimation of the density and density derivatives.
Catherine Forbes (Monash University)
Non-Parametric Estimation of Forecast Distributions in Non-Gaussian State Space Models
This paper provides a methodology for the production of non-parametric estimates of forecast distributions, in a general non-Gaussian, non-linear state space setting. The transition
densities that define the evolution of the dynamic state process are represented in closed parametric form, with the conditional distribution of the measurement error variable estimated
non-parametrically. The requisite recursive filtering and prediction distributions are computed as functions of the unknown conditional error. The method is illustrated in the context
of several financial models with a particular focus on the production of sequential, real time forecast distributions for volatility. This work is co-authored by Jason Ng, Catherine S.
Forbes, Gael M. Martin and Brendan P.M. McCabe.
Alexandre Leblanc (University of Manitoba)
On the Boundary Effects of Bernstein Polynomial Estimators of Density and Distribution Functions
For density and distribution functions supported on [0,1], Bernstein polynomial estimators are known to have optimal Mean Integrated Squared Error (MISE) properties under the usual
smoothness conditions on the function to be estimated. These estimators are also known to be well-behaved in terms of bias, as they exhibit no boundary bias. In this talk, we will
discuss the fact that these estimators nevertheless do experience boundary effects. However, these boundary effects are of a different nature than what is seen, for example, with usual
kernel estimators.
Leming Qu (Boise State University)
Copula density estimation by wavelet domain penalized likelihood with linear equality constraints
A copula density is the joint probability density function (PDF) of a random vector with uniform marginals. An approach to bivariate copula density estimation is introduced that is
based on a maximum penalized likelihood estimation (MPLE) with penalty term being the L1 norm of the density's wavelet coefficients. The marginal unity and symmetry constraints for
copula density are enforced by linear equality constraints. The L1-MPLE subject to linear equality constraints is solved by an iterative algorithm. A data-driven selection of the
regularization parameter is discussed. Simulation and real data application show the effectiveness of the proposed approach.
10:30-11:30am Plenary Talk
Ballroom Peter Muller (M.D. Anderson Cancer Center)
Bayesian Clustering with Regression
We propose a model for covariate-dependent clustering, i.e., we develop a probability model for random partitions that is indexed by covariates. The motivating application is inference
for a clinical trial. As part of the desired inference we wish to define clusters of patients. Defining a prior probability model for cluster memberships should include a regression on
patient baseline covariates. We build on product partition models (PPM). We define an extension of the PPM to include the desired regression. This is achieved by including in the
cohesion function a new factor that increases the probability of experimental units with similar covariates to be included in the same cluster.
1:00-2:30pm Parallel Sessions
Ballroom Rank Set Sampling (Invited)
Johan Lim (Seoul National University)
A kernel density estimator for the ranked set samples
In this paper, we study a kernel density estimator for the ranked set samples. We derive the asymptotic bias and variance of the estimator and find the optimal bandwidth that minimizes
the integrated mean squared error (IMSE). We propose a leave-one-out cross validation procedure to find the bandwith in practice. We numerically investigate the performance of the
proposed kernel estimator. We further extend the proposed methodology to estimate a symmetric density. Finally, our method is applied to estimating the density of tree data published in
the pervious literature. This work is co-authored by Johan Lim, Min Chen and Sangun Park.
Kaushik Ghosh (University of Nevada - Las Vegas)
A unified approach to variations of ranked set sampling
In this talk, we develop a general theory of inference using data collected from different variations of ranked set sampling. Such variations include balanced and unbalanced ranked set
sampling, balanced and unbalanced k-tuple ranked set sampling, nomination sampling, simple random sampling, as well as a combination of them. We provide methods of estimating the
underlying distribution function as well as its functionals and establish the asymptotic properties of the resulting estimators. The results so obtained can be used to develop
nonparametric procedures for one- and two-sample problems. We also investigate small-sample properties of these estimators and conclude with an application to a real-life example.
Xinlei Wang (Southern Methodist University)
Isotonized Estimators for Judgment Post-stratification Samples
Judgment post-stratification (JP-S) is a data collection method introduced by MacEachern, Stasny and Wolfe (2004), based on ideas similar to those in ranked set sampling. In this
research, for JP-S data, we propose isotonized estimators of the mean and cumulative density function (CDF) of a population of interest, which exploit the fact that the distributions of
the judgment post-strata are often stochastically ordered. Further for JP-S data with small sample sizes, we deal with the problem of empty cells, and propose modified isotonized
estimators of the CDF. All these new estimators are examined by simulation studies and illustrated with data examples.
Pfahl 140 Ranking Procedures (Invited)
Carlos Guestrin (Carnegie Mellon University)
Riffled Independence for Ranked Data
Representing distributions over permutations can be a daunting task due to the fact that the number of permutations of n objects scales factorially in n. One recent way that has been
used to reduce storage complexity has been to exploit probabilistic independence, but as we argue, full independence assumptions impose strong sparsity constraints on distributions and
are unsuitable for modeling rankings. We identify a novel class of independence structures, called riffled independence, encompassing a more expressive family of distributions while
retaining many of the properties necessary for performing efficient inference and reducing sample complexity. In riffled independence, one draws two permutations independently, then
performs the riffle shuffle, common in card games, to combine the two permutations to form a single permutation. Within the context of ranking, riffled independence corresponds to
ranking disjoint sets of objects independently, then interleaving those rankings. In this talk, we provide a formal introduction to riffled independence and present algorithms for using
riffled independence within Fourier-theoretic frameworks which have been explored by a number of recent papers. Additionally, we propose an automated method for discovering sets of
items which are riffle independent from a training set of rankings. We show that our clustering-like algorithms can be used to discover meaningful latent coalitions from real preference
ranking datasets and to learn the structure of hierarchically decomposable models based on riffled independence. This talk is joint work with Jonathan Huang.
Paul Kidwell (Lawrence Livermore National Laboratory)
A kernel density estimate for the probabilities of rankings with ties and missing items
Ranking data is frequently encountered and is not easily modeled due to the issues of ties or missing data. Previous modeling efforts have established non-parametric kernel estimation
as an effective tool for modeling rankings. A discrete analogue to the triangular kernel is developed which through its combinatoric and statistical properties allows the non-parametric
approach to be efficiently applied in the case of ties and extended to missing data. This approach readily extends to a scheme for visualization of ranking data which is intuitive, easy
to use, and computationally efficient.
Guy Lebanon (Georgia Institute of Technology)
Visualizing Similarities between Search Engines using the Weighted Hoeffding Distance on Permutations
We explore the use of multidimensional scaling in visualizing relationships between different search engines, and between different search strategies employed by users. In the talk we
will discuss the appropriateness of different metrics for this task and present some experimental results using some well known search engines.
Pfahl 202 Sparse Estimation (Contributed)
Bin Li (Louisiana State University)
Robust and Sparse Bridge Regression
It is known that when there are heavy-tailed errors or outliers in the response, the least squares methods may fail to produce a reliable estimator. In this paper, we proposed a
generalized Huber criterion which is highly flexible and robust for large errors. We applied the new criterion to the bridge regression family, called Robust and Sparse Bridge
Regression (RSBR). However, to get the RSBR solution requires solving a nonconvex minimization problem, which is a computational challenge. On the basis of recent advances in difference
convex programming, coordinate descent algorithm and local linear approximation, we provide an efficient computational algorithm that attempts to solve this nonconvex problem. Numerical
examples show the proposed RSBR algorithm performs well and suitable for large-scale problems.
Philippe Rigollet (Princeton University)
Optimal rates of sparse estimation and universal aggregation
A new procedure called "Exponential screening" (ES) is developed and proved to satisfy a set optimal sparsity oracle inequalities for Gaussian regression. These oracle inequalities
entail not only adaptation to sparsity but also show that ES solves simultaneously and optimally all the aggregation problems previously studied. Even though the procedure is simple,
its implementation is not straightforward but it can be approximated using the Metropolis algorithm, which results in a stochastic greedy algorithm and performs surprisingly well in a
simulated problem of sparse recovery.
Adam Rothman (University of Michigan)
Sparse estimation of a multivariate regression coefficient matrix
We propose a procedure for constructing a sparse estimator of a multivariate regression coefficient matrix that accounts for correlation of the response variables. This method, which we
call multivariate regression with covariance estimation (MRCE), involves penalized likelihood with simultaneous estimation of the regression coefficients and the covariance structure.
An efficient optimization algorithm and a fast approximation are developed for computing MRCE. Using simulation studies, we show that the proposed method outperforms relevant
competitors when the responses are highly correlated. We also apply the new method to a finance example on predicting asset returns.
Jeffrey Simonoff (New York University)
RE-EM Trees: A New Data Mining Approach for Longitudinal Data
Longitudinal data refer to the situation where repeated observations are available for each sampled individual. Methodologies that take this structure into account allow for systematic
differences between individuals that are not related to covariates. A standard methodology in the statistics literature for this type of data is the random effects model, where these
differences between individuals are represented by so-called "effects" that are estimated from the data. This paper presents a methodology that combines the flexibility of tree-based
estimation methods with the structure of random effects models for longitudinal data. We apply the resulting estimation method, called the RE-EM tree, to pricing in online transactions,
showing that the RE-EM tree provides improved predictive power compared to linear models with random effects and regression trees without random effects. We also perform extensive
simulation experiments to show that the estimator improves predictive performance relative to regression trees without random effects and is comparable or superior to using linear
models with random effects in more general situations, particularly for larger sample sizes. This is joint work with Rebecca J. Sela.
2:45-3:45pm Plenary Talk
Ballroom David Banks (Duke University)
How We Got Here -- The Rise of Data Mining
Modern data mining is the child of statistics and computer science, with database management serving as the midwife. From the statistical side, much of the initial motivation derived
from the philosophy of nonparametrics. From the computer science side, much of the impetus came from the interest in artificial intelligence. This talk reviews the interactions between
these perspectives, describing the key developments that shaped the course of this emerging field.
4:00-5:30pm Parallel Sessions
Ballroom Nonparametric Bayes Methods (Invited)
Purushottam Laud (Medical College of Wisconsin)
A Dirichlet Process Mixture Model Allowing for Mode of Inheritance Uncertainty in Genetic Association Studies
A desirable model for use in genetic association studies simultaneously considers the effect of all genetic markers and covariates. This invariably requires considering a large number
of genetic markers, most of which are unrelated to the phenotype. Moreover, at each marker, the model should allow a variety of modes of inheritance: namely, additive, dominant,
recessive, or over-dominant effects. MacLehose and Dunson (2009) have described a flexible multiple shrinkage approach to high-dimensional model building via Bayesian nonparametric
priors. The use of these priors facilitates data-driven shrinkage to a random number of random prior locations. Adapting such techniques, we develop Bayesian semi-parametric shrinkage
priors at two levels that allow data-driven shrinkage towards the various inheritance modes and, within each mode, shrinkage towards a random number of random effect sizes. The proposed
method offers a natural way of incorporating into the inference the uncertainty in the mode of inheritance at each marker. We illustrate the proposed method on simulated data based on
the International HapMap Project.
Steven MacEachern (The Ohio State University)
Regularization and case-specific parameters
Statisticians have long used case-specific parameters as a device to remove outlying and influential cases from an analysis. Decisions on inclusion of the parameters have traditionally
been made on the basis of the size of the residual. The rise of regularization methods allows us to approach case-specific analysis in a different fashion. To exploit the power of
regularization, we augment the "natural" covariates in a problem with an additional indicator for each case in the data set. We attach a penalty term for these case-specific indicators
which is designed to produce a desired effect. For regression methods with squared error loss, an L1 penalty produces a regression which is robust to outliers and high leverage cases;
for quantile regression methods, an L2 penalty decreases the variance of the fit enough to overcome an increase in bias. The paradigm thus allows us to robustify procedures which lack
robustness and to increase the efficiency of procedures which are robust. We provide a general framework for the inclusion of case-specific parameters in regularization problems,
provide new insight into existing techniques (specifically, Huber's robust regression), and illustrate the benefits of the new methodology. This is joint work with Yoonkyung Lee and
Yoonsuh Jung.
Fernando Quintana (Pontificia Universidad Católica de Chile)
Bayesian Nonparametric Longitudinal Data Analysis with Embedded Autoregressive Structure: Application to Hormone Data
We develop a novel Dirichlet Process Mixture model for irregular longitudinal data. The model mixes on the two parameters of the traditional Ornstein-Uhlenbeck process with exponential
covariance function and thus allows for the possibility of multiple groups with distinct autoregressive covariance structure. We illustrate the use of the model to track hormone curve
data through the menopausal transition, and we also test the model on simulated data, both to check its performance in estimating mean functions as well as a variety of covariance
Pfahl 140 Statistical Learning (Invited)
Ejaz Ahmed (University of Windsor)
Absolute Penalty and Shrinkage Estimation in Partially Linear Models
In this talk we address the problem of estimating a vector of regression parameters in a partially linear model. Our main objective is to provide natural adaptive estimators that
significantly improve upon the classical procedures in the situation where some of the predictors are nuisance variables that may or may not affect the association between the response
and the main predictors. In the context of two competing regression models (full and sub-models), we consider shrinkage estimation strategy. The shrinkage estimators are shown to have
higher efficiency than the classical estimators for a wide class of models. We develop the properties of these estimators using the notion of asymptotic distributional risk. Further, we
proposed absolute penalty type estimator (APE) for the regression parameters which is an extension of the LASSO method for linear models. The relative dominance picture of the
estimators are established. Monte Carlo simulation experiments are conducted and the non-parametric component is estimated based on kernel smoothing and B-spline. Further, the
performance of each procedure is evaluated in terms of simulated mean squared error. The comparison reveals that the shrinkage strategy performs better than the APE (LASSO) strategy
when, and only when, there are many nuisance variables in the model. We conclude this talk by applying the suggested estimation strategies on a real data set which illustrates the
usefulness of procedures in practice. This is joint work with K. Doksum and E. Raheem.
Liza Levina (University of Michigan)
Community extraction and network perturbations
Analysis of networks and in particular discovering communities within networks has been a focus of recent work in several fields, with applications ranging from citation and friendship
networks to food webs and gene regulatory networks. Most of the existing community detection methods focus on partitioning the entire network into communities, with the expectation of
many ties within communities and few ties between. However, in a real network there are often nodes that do not belong to any of the communities, and forcing every node into a community
can distort results. Here we propose a new framework that focuses on community extraction instead of partition, extracting one community at a time. We show that the new criterion
performs wells on simulated and real networks, and establish asymptotic consistency of our method under the block model assumption. In the second part of the talk, I will briefly
describe a method for assessing the quality of community detection by its robustness to random network perturbations. The first part of the talk is joint work with Ji Zhu and Yunpeng
Zhao (Statistics, University of Michigan); the second part is joint work with Mark Newman and Brian Karrer (Physics, University of Michigan).
Ming Yuan (Georgia Institute of Technology)
Sparse Regularization for High Dimensional Additive Models
We study the behavior of the l1 type of regularization for high dimensional additive models. Our results suggest remarkable similarities and differences between linear regression and
additive models in high dimensional settings. In particular, our analysis indicates that, unlike in linear regression, l1 regularization does not yield optimal estimation for additive
models of high dimensionality. This surprising observation prompts us to introduce a new regularization technique that can be shown to be optimal in the minimax sense.
Pfahl 202 Robust Statistics (Contributed)
Richard Charnigo (University of Kentucky)
Nonparametric Derivative Estimation and Posterior Probabilities for Nanoparticle Characteristics
The characterization of nanoparticles from surface wave scattering data is of great interest in applied engineering because of its potential to advance nanoparticle-based manufacturing
concepts. Meanwhile, a recent development in methodology for the nonparametric estimation of a mean response function and its derivatives has provided a valuable tool for nanoparticle
characterization: namely, a mechanism to identify the most plausible configuration for a collection of nanoparticles given the estimated derivatives of surface wave scattering profiles
from those nanoparticles. In this talk, after briefly reviewing the preceding work, we propose an extension that additionally furnishes posterior probabilities for the various possible
configurations of nanoparticles. An empirical study is included as a demonstration. This is collaborative work with Mathieu Francoeur, Patrick Kenkel, M. Pinar Menguc, Benjamin Hall,
and Cidambi Srinivasan.
Juan A. Cuesta-Albertos (Universidad de Cantabria)
Similarity of Distributions and Impartial Trimming
We say that two probabilities are similar at level c if they are contaminated versions (up to an c fraction) of the same common probability. In this talk we show how a data-driven
trimming aimed to maximize similarity between distributions can be used to decide if two samples were obtained from two distributions which are similar at level c, based on the fact
that the empirical distributions present an over (under)-fitting effect in the sense that trimming more (less) that the similarity level results in trimmed samples which are much closer
(farther) than expected to each other. We provide illustrative examples and give some asymptotic results to justify the use of this methodology in applications. This is a joint work
with Profs. P. Alvarez-Esteban, E. del Barrio and C. Matran from Universidad de Valladolid, Spain.
Kiheiji Nishida (University of Tsukuba)
On the variance-stabilizing multivariate nonparametric regression estimation
In linear regression under heteroscedastic variances, the Aitken estimator is employed to counter heteroscedasticity. Employing the same principle, we propose the multivariate
Nadaraya-Watson (NW) regression estimator with variance-stabilizing bandwidth matrix (VS bandwidth matrix) that minimizes asymptotic MISE while maintaining asymptotic homoscedasticity.
Our proposed bandwidth matrix is diagonal by the assumption that the sphering approach is available and is defined by global and local parameters. The NW regression estimation based on
VS bandwidth matrix does not produce discontinuous point unless the density of X is sparse. This is one advantage over MSE minimizing bandwidth matrix.
Michal Pesta (Charles University in Prague, Czech Republic)
Robustified total least squares and bootstrapping with application in calibration
The solution to the errors-in-variables (EIV) problem computed through total least squares (TLS) or robustified TLS is highly nonlinear. Because of this, many statistical procedures for
constructing confidence intervals and testing hypotheses cannot be applied. One possible solution to this dilemma is bootstrapping. Justification for use of the nonparametric bootstrap
technique is given. On the other hand, the classical residual bootstrap could fail. Proper residual bootstrap procedure is provided and its correctness proved. The results are
illustrated through a simulation study. An application of this approach to calibration data is presented.
May 22 (Saturday)
8:30-10:00am Parallel Sessions
Ballroom Machine Learning (Invited)
Sayan Mukherjee (Duke University)
Geometry and Topology in Inference
We use two problems to illustrate the utility of geometry and topology in statistical inference: supervised dimension reduction (SDR), and inference of (hyper) graph models. We start
with a "tale of two manifolds." The focus is on the problem of supervised dimension reduction (SDR). We first formulate the problem with respect to the inference of a geometric property
of the data, the gradient of the regression function with respect to the manifold that supports the marginal distribution. We provide an estimation algorithm, prove consistency, and
explain why the gradient is salient for dimension reduction. We then reformulate SDR in a probabilistic framework and propose a Bayesian model, a mixture of inverse regressions. In this
modeling framework the Grassman manifold plays a prominent role. The second part of the talk develops a parameterization of hypergraphs based on the geometry of points in ddimensions.
Informative prior distributions on hypergraphs are induced through this parameterization by priors on point configurations via spatial processes. The approach combines tools from
computational geometry and topology with spatial processes and offers greater control on the distribution of graph features than Erdos-Renyi random graphs.
Sijian Wang (University of Wisconsin)
Regularized REML for Estimation and Selection of Fixed and Random Effects in Linear Mixed-Effects Models
The linear mixed effects model (LMM) is widely used in the analysis of clustered or longitudinal data. In the practice of LMM, inference on the structure of random effects component is
of great importance not only to yield proper interpretation of subject-specific effects but also to draw valid statistical conclusions. This task of inference becomes significantly
challenging when a large number of fixed effects and random effects are involved in the analysis. The difficulty of variable selection arises from the need of simultaneously
regularizing both mean model and covariance structures, with possible parameter constraints between the two. In this paper, we propose a novel method of regularized restricted maximum
likelihood to select fixed and random effects simultaneously in the LMM. The Cholesky decomposition is invoked to ensure the positive-definiteness of the selected covariance matrix of
random effects, and selected random effects are invariant with respect to the ordering of predictors appearing in the model. We develop a new algorithm that solves the related
optimization problem effectively, in which the computational load turns out to be comparable with that of the Newton-Raphson algorithm for MLE or REML in the LMM. We also investigate
large sample properties for the proposed estimation, including the oracle property. Both simulation studies and data analysis are included for illustration.
Jian Zhang (Purdue University)
Large-Scale Learning by Data Compression
An important challenge in machine learning is how to efficiently learn from massive training data sets, especially with limited storage and computing capability. In this talk we
introduce an efficient learning method called "compressed classification", which aims to compress observations into a small number of pseudo-examples before classification. By analyzing
the convergence rate of the risk, we show the classifiers learned from compressed data can closely approximate the non-compressed classifiers by effectively reducing the noise variance.
We also present a hierarchical local grouping algorithm to iteratively split observations into local groups, which leads to a faster compression process than the single-layer
counterpart. Our experiments with simulated and real datasets show that the proposed local-grouping-based compression method can outperform several other compression methods, and
achieve competitive performance with non-compressed baseline using much less learning time for both small-scale and large-scale classification problems.
Pfahl 140 Data Depth (Invited)
Xin Dang (University of Mississippi)
Kernelized Spatial Depth on Outlier Detection and Graph Ranking
Statistical depth functions provide center-outward ordering of points with respect to a distribution or a date set in high dimensions. Of the various depth notions, the spatial depth is
appealing because of its computational efficiency. However, it tends to provide circular contours and fail to capture well the underling probabilistic geometry outside of the family of
spherically symmetrical distributions. We propose a novel depth, the kernelized spatial depth(KSD), which generalizes the spatial depth via positive definite kernels. By choosing a
proper kernel, the KSD captures the local structure of data while the spatial depth fails. Based on KSD, a simple outlier detector is proposed, by which an observation with a depth
value less than a threshold is declared as an outlier. Upper bounds of the swamping effect (false alarm probability) are derived and used to determine the threshold. The KSD outlier
detector demonstrates a competitive performance on simulated data and data sets from real applications. We also extend KSD to graph data, where pairwise relationships of objects are
given and represented by edges. Several graph kernels including a new proposed one, complement Laplacian kernel, are considered for ranking the "centrality" of graph nodes. An
application of graph KSD to gene data will be briefly discussed also.
Regina Liu (Rutgers University)
DD-Classifier: A new Nonparametric Classification Procedure
Most existing classification algorithms are developed by assuming either certain parametric distributions for the data or certain forms of separating surfaces. Either assumption can
greatly limit the applicability of the algorithm. We introduce a novel nonparametric classification algorithm using the so-called DD-plot. This algorithm is completely nonparametric,
requiring no prior knowledge of the underlying distributions or of the form of the separating surface. Thus it can be applied to a wide range of classification problems. The algorithm
can be easily implemented and its classification outcome can be clearly visualized on a two-dimensional plot regardless of the dimension of the data. The asymptotic properties of the
proposed classifier and its misclassification rate are studies. The DD-classifier is shown to be asymptotically equivalent to the Bayes rule under suitable conditions. The performance
of DD- classifier is also examined by using simulated and real data sets. Overall, DD-classifier performs well across a broad range of settings, and compares favorably with most
existing nonparametric classifiers. This is joint work with Juan Cuesta-Albertos (Universidad de Cantabria, Spain) and Jun Li (UC Riverside).
Robert Serfling (University of Texas at Dallas)
Robust, Affine Invariant, Computationally Easy Nonparametric Multivariate Outlyingness Functions
Identification of possible outliers in multivariate is of paramount importance. We desire methods which are robust, computationally easy, and affine invariant Versions based on the
Mahalanobis distance meet these criteria but impose ellipsoidal contours. The spatial and projection outlyingness functions avoid this constraint but the former lacks full affine
invariance and sufficient robustness, while the second is computationally intensive. Can we develop outlyingness functions which retain the favorable properties of Mahalanobis distance
without confining to ellipsoidal contours? We review multivariate outlyingness functions and introduce standardizations of multivariate data which produce affine invariance of
outlyingness functions. A new "spatial trimming" method is introduced to robustify the spatial approach. A notion of strong invariant coordinate system functional is introduced to
standardize finite projection pursuit vectors. With these methods, we construct new outlyingness functions that are robust, affine invariant, and computationally competitive with robust
Mahalanobis distance outlyingness.
Pfahl 202 Applications (Contributed)
John Cartmell (InterDigital LLC)
Methods to Pre-Process Training Data for K-Nearest Neighbors Algorithm
The basic K-nearest neighbor classification algorithm performs a search through the training samples, computing the distance for each training sample from the sample to be classified.
Once the distances, are computed the class of the majority of the k closest points is assigned as the classification of the test sample. The training phase of the algorithm is extremely
efficient as no pre-processing of the training data is required. However, the phase where test samples are classified is very dear, since for every sample to be classified the entire
training class must be traversed. In this paper, we explore three methods that will reduce the number of training samples to be traversed during the classification process. Each method
reduces the number of samples in each class by averaging the training samples in each class using different techniques. Therefore, instead of having to compare a test sample against all
of the training samples, a test sample is only compared against the reduced set of training samples. Once these methods are described, they are used, along with other classification
algorithms, on real data sets to demonstrate their effectiveness from both fidelity and performance standpoints.
Pang Du (Virginia Tech)
Cure Rate Model with Spline Estimated Components
This study proposes a nonparametric estimation procedure for cure rate data based on penalized likelihood method. In some survival analysis of medical studies, there are often long term
survivors who can be considered as permanently cured. The goals in these studies are to estimate the cure probability of the whole population and the hazard rate of the non-cured
subpopulation. When covariates are present as often happens in practice, to understand covariate effects on the cure probability and hazard rate is of equal importance. The existing
methods are limited to parametric and semiparametric models. We propose a two-component mixture cure rate model with nonparametric forms for both the cure probability and the hazard
rate function. Identifiability of the model is guaranteed by an additive assumption on hazard rate. Estimation is carried out by an EM algorithm on maximizing a penalized likelihood.
For inferential purpose, we apply the Louis formula to obtain point-wise confidence intervals for cure probability and hazard rate. We then evaluate the proposed method by extensive
simulations. An application to a melanoma study demonstrates the method.
Polina Khudyakov (Technion - Israel Institute of Technology)
Frailty model of customer patience in call centers
Call centers collect a huge amount of data, and this provides a great opportunity for companies to use this information for the analysis of customer needs, desires, and intentions. This
study is dedicated to the analysis of customer patience, defined as the ability to endure waiting for service. This human trait plays an important role in the call center mechanism.
Every call can be considered as a possibility to keep or lose a customer, and the outcome depends on the customer's satisfaction and affects the future customer's choice. The assessment
of customer patience is a complicated issue because in most cases customers receive the required service before they lose their patience. To estimate the distribution of the patience,
we consider all calls with non-zero service time as censored observations. Different methods, for estimating the customer patience, already exist in the literature. Some of these use
either the Weibull distribution (Palm, 1953) or the standard Kaplan-Meier product-limit estimator (Brown et al., 2005, JASA, 36-50). Our work is the first attempt to apply frailty
models in customer patience analysis while taking into account the possible dependency between calls of the same customer, and estimating this dependency. In this work we first extended
the estimation technique of Gorfine et al (2006, Biometrika, 735-741) to address the case of different unspecified baseline hazard functions for each call, in case the customer behavior
changes as s/he becomes more experienced with the call center services. Then, we provided a new class of test statistics for testing the equality of the baseline hazard functions. The
asymptotic distribution of the test statistics was investigated theoretically under the null and certain local alternatives. We also provided consistent variance estimators. The test
statistics properties, under finite sample size, were studied by extensive simulation study and verified the control of Type I error and our proposed sample size calculations. The
utility of our proposed estimation technique and the new test statistic is illustrated by the analysis of a call center data of an Israeli commercial company that is processing up to
100,000 calls a day. This is joint work with Prof. M. Gorfine and Prof. P.Feigin.
Padma Sastry
A Method and application to measurement of service quality: A Multidimensional approach
Evaluation of service quality in a regulated industry is necessary for effective policymaking and fair markets. Service quality, while not entirely in the eyes of the beholder, varies
in definition depending on the stakeholder: service provider, customer or regulator. We provide a framework for considering service quality of a regulated industry from multiple
perspectives and operationalize the concepts by developing a method for incorporating differing stakeholders' interests. We define measures of relative performance, orientation and
cohesion and use them to analyze industry-wide trends over time. We use these measures to study the effect of the 1996 Telecom Act.
10:30-11:30am Plenary Talk
Ballroom Grace Wahba (University of Wisconsin-Madison)
The LASSO-Patternsearch Algorithm: Multivariate Bernoulli Patterns of Inputs and Outputs
We describe the LASSO-Patternsearch algorithm, a two or three step procedure whose core applies a LASSO penalized likelihood to univariate Bernoulli response data Y given a very large
attribute vector X from a sparse multivariate Bernoulli distribution. Sparsity here means that the conditional distribution of Y given X is assumed to have very few terms, but some may
be of higher order (patterns). An algorithm which can handle a very large number (two million) of candidate patterns in a global optimization scheme is given, and it is argued that
global methods have a certain advantage over greedy methods in the variable selection problem. Applications to demographic and genetic data are described. Ongoing work on correlated
multivariate Bernoulli outcomes including tuning is briefly described.
1:00-2:30pm Parallel Sessions
Pfahl 140 Applications (Invited)
Thomas Bishop (The Ohio State University / NCACI)
Activity at the Nationwide Center for Advanced Customer Insights (NCACI)
The Nationwide Mutual Insurance Company and The Ohio State University have established the Nationwide Center for Advanced Customer Insights. The objective of the center is to conduct
applied research to develop customer insights using state of the art predictive modeling, data mining and advanced analytical techniques that improve Nationwide's understanding of
customer behavior and consumer purchasing patterns. The center is fully funded by Nationwide and managed by Ohio State. It employs best in class OSU faculty, staff and graduate students
from across the University, including faculty and students from the Departments of Marketing, Statistics, Psychology, Economics, Computer Science, and Industrial and Systems
Engineering. The center manages applied business research projects involving the application of existing theory and methodologies to solve specific marketing, business and operational
problems. It also manages seminal business research projects requiring state of the art research by OSU faculty and graduate students to develop new analytical methodologies. The center
offers OSU faculty and graduate students research opportunities and direct access to Nationwide customer and marketing data. Nationwide has agreed to grant OSU researchers the right to
publish the research results subject to coding the data to protect confidential information. Our faculty and students work directly with Nationwide executives and staff to solve
marketing and business problems important to Nationwide. This presentation will address the genesis for the Center, the strategy for integrating academic, graduate student and corporate
research interests aimed at applied research, and several examples of applied research projects that have been completed by the Center.
Yiem Sunbhanich (CACI/Nationwide)
Key Elements for Effective Execution of Applied Statistics in Corporate Environment
The Nationwide Mutual Insurance Company and The Ohio State University have established the Nationwide Center for Advanced Customer Insights. The objective of the center is to conduct
seminal and applied business research and develop customer insights using state of the art predictive modeling, data mining and advanced analytical techniques that improve Nationwide's
understanding of customer behavior and consumer purchasing patterns. Yiem Sunbhanich is the Executive-in-Residence at the Center. He will share his perspectives and experience on how to
effectively transform information into actionable insights in corporate environment. Business case on proactive contact will be presented together with the key elements in making the
execution of this proactive contact program successful. Examples of those key elements are problem formulation, scalable insight production process, effective communication, and
incentive alignment.
Joseph Verducci (The Ohio State University)
Mining for Natural Experiments
Scientific knowledge has been amassed mostly through scientific experiments. A standard format for these is to create an experimental design, controlling the levels of key variables X
to infer a response surface E[Y] = f(X), keeping the values of all potentially confounding variables Z constant throughout the experiment. The resulting knowledge about f(X) generalizes
to all contexts with the same value of Z. In data mining, we typically try to find a relationship E[Y] = g(X,Z) that can be cross-validated or validated on a particular external dataset
of interest. This severely limits the generalizability of the findings and leads to underestimation of the applicable false discovery rate. This talk suggests a strategy for finding
"nuggets" of (subsample, variable subset) pairs that should have greater generalizability than the currently popular methods.
Pfahl 202 Model Selection (Invited)
Chong Gu (Purdue University)
Nonparametric regression with cross-classified responses
For the analysis of contingency tables, log-linear models are widely used to explore associations among the marginals. In this talk, we present modeling tools to disaggregate
contingency tables along an x-axis and estimate the probabilities of cross-classified y-variables as smooth functions of covariates. Possible correlations among longitudinal or
clustered data can be entertained via random effects. A suite of R functions are made available, which incorporates a cohort of techniques including cross-validation, Kullback-Leibler
projection, and Bayesian confidence intervals for odds ratios.
Yuhong Yang (University of Minnesota)
Parametric or Nonparametric? An Index for Model Selection
Parametric and nonparametric models are convenient mathematical tools to describe characteristics of data with different degrees of simplification. When a model is to be selected from a
number of candidates, not surprisingly, differences occur when the data generating process is assumed to be parametric or nonparametric. In this talk, in a regression context, we will
consider the question if and how we can distinguish between parametric and nonparametric situations and discuss feasibility of adaptive estimation to handle both parametric and
nonparametric scenarios optimally. The presentation is based on a joint work with Wei Liu.
Ji Zhu (University of Michigan)
Penalized regression methods for ranking variables by effect size, with applications to genetic mapping studies
Multiple regression can be used to rank predictor variables according to their "unique" association with a response variable - that is, the association that is not explained by other
measured predictors. Such a ranking is useful in applications such as genetic mapping studies, where one goal is to clarify the relative importance of several correlated genetic
variants with weak effects. The use of classical multiple regression to rank the predictors according to their unique associations with the response is limited by difficulties due to
collinearities among the predictors. Here we show that regularized regression can improve the accuracy of this ranking, with the greatest improvement occurring when the pairwise
correlations among the predictor variables are strong and heterogeneous. Considering a large number of examples, we found that ridge regression generally outperforms regularization
using the L1 norm for variable ranking, regardless of whether the true effects are sparse. In contrast, for predictive performance, L1 regularization performs better for sparse models
and ridge regression performs better for non-sparse models. Our findings suggest that the prediction and variable ranking problems both benefit from regularization, but that different
regularization approaches tend to perform best in the two settings. This is joint work with Nam-Hee Choi and Kerby Shedden.
Pfahl 302 Semiparametrics (Contributed)
Jinsong Chen (University of Virginia)
A generalized semiparametric single-index mixed model
The linear model in the generalized linear mixed models is not complex enough to capture the underlying relationship between the response and its associated covariates. We use a
single-index model to generalize this model to have the linear combination of covariates enter the model via a nonparametric link function. We call this model a generalized
semiparametric single-index mixed model. The marginal likelihood is approximated using the Laplace method. A double penalized quasi-likelihood approach is proposed for estimation.
Asymptotic properties of the estimators are developed. We estimate variance components using marginal quasi-likelihood. Simulation and the study of the association between daily air
pollutants and daily mortality in various counties of North Carolina are used to illustrate the models and the proposed estimation methodology. This is co-authored with Inyoung Kim
(Virginia Tech University) and George R. Terrell (Virginia Tech University).
Bo Kai (College of Charleston)
New Estimation and Variable Selection Methods for Semiparametric Regression Models
In this work, we propose new estimation and variable selection procedures for the semiparametric varying-coefficient partially linear model. We first study quantile regression estimates
for this model. To achieve nice efficiency properties, we further develop a semiparametric composite quantile regression (semi-CQR) procedure. We establish the asymptotic normality both
the parametric and nonparametric estimates and show that they achieve the best convergence rate. Moreover, we show that the semi-CQR method is much more efficient than the least-squares
based method for many non-normal errors and only loses a little efficiency for normal errors. To achieve sparsity with high-dimensional covariates, we propose adaptive penalization
methods for variable selection and prove the methods possess the oracle property. Extensive Monte Carlo simulation studies are conducted to examine the finite sample performance of the
proposed procedures. This is a joint work with Runze Li and Hui Zou.
Ganna Leonenko (Swansea University)
Statistical Learning in Semiparametric Models of Remote Sensing: Empirical Divergence and Information Measures, Robust and Minimum Contrast Methods
Estimation of biophysical parameters from satellite data is one of the most challenging problems in remote sensing. We present the statistical leaning results for the radiative transfer
model(FLIGHT), which calculates bidirectional reflectance distribution function (BRDF) using Monte Carlo simulation of photon transport and represents complex vegetation structures as
well as angular geometry. For statistical learning in semiparametric model the empirical divergence and information measures has been applied. We also investigate a class of robust
statistics and minimum contrast estimates. We find that LSE does not work very well for non-linear problem of the type investigated and that estimation of biophsycial parameters can be
improved in some cases up to 13%. This talk is based on the joint work with S.Los and P.North.
Jelani Wiltshire (Florida State University)
A general class of test statistics to test for the effect of age of species on their extinction rate
Van Valen's Red Queen hypothesis states that within a homogeneous taxonomic group the age is statistically independent of the rate of extinction. The case of the Red Queen hypothesis
being addressed here is when the homogeneous taxonomic group is a group of similar species. Since Van Valen's work, various statistical approaches have been used to address the
relationship between taxon duration (age) and the rate of extinction. Some of the more recent approaches to this problem using Planktonic Foraminifera (Foram) extinction data include
Weibull and Exponential modeling (Parker and Arnold, 1997), and Cox proportional hazards modeling (Doran et al, 2004,2006). I propose a general class of test statistics that can be used
to test for the effect of age on extinction. These test statistics allow for a varying background rate of extinction and attempt to remove the effects of other covariates when assessing
the effect of age on extinction. No model is assumed for the covariate effects. Instead I control for covariate effects by pairing or grouping together similar species. In my
presentation I will apply my test statistics to the Foram data and to simulated data sets.
2:45-4:15pm Parallel Sessions
Pfahl 140 Climatic Applications (Invited)
Lasse Holmstrom (University of Oulu)
Scale space methods in climate research
Statistical scale space analysis aims to find features in the data that appear in different scales, or levels of resolution. Scale-dependent features are revealed by multi-scale
smoothing, the idea being that each smooth provides information about the underlying truth at a particular scale. We discuss a Bayesian scale space technique and its application to the
study of temperature variation, both past and future. Analysis of past temperatures involves fossil-based reconstructions of post Ice Age climate in northern Fennoscandia where features
that appear in different time scales are of interest. Future temperatures, on the other hand, are computer climate model predictions and we seek to establish patterns of warming that
appear in different spatial scales.
Cari Kaufman (UC Berkeley)
Functional ANOVA Models for Comparing Sources of Variability in Climate Model Output
Functional analysis of variance (ANOVA) models partition a functional response according to the main effects and interactions of various factors. Motivated by the question of how to
compare the sources of variability in climate models run under various conditions, we develop a general framework for functional ANOVA modeling from a Bayesian viewpoint, assigning
Gaussian process prior distributions to each batch of functional effects. We discuss computationally efficient strategies for posterior sampling using Markov Chain Monte Carlo
algorithms, and we emphasize useful graphical summaries based on the posterior distribution of model-based analogues of the traditional ANOVA decompositions of variance. We present a
case study using these methods to analyze data from the Prudence Project, a climate model inter-comparison study providing ensembles of climate projections over Europe.
Tao Shi (The Ohio State University)
Statistical Modeling of AIRS Level 3 Quantization Data
Atmospheric Infrared Sounder (AIRS) has been collecting temperatures, water vapor mass-mixing ratios, and cloud fraction at various atmosphere pressure levels. It generates 35
dimensional vectors at each 45km ground footprint in each satellite path in its level-2 data. The level 3 quantization data (L3Q) summarize valid level-2 data in each 5 degree by 5
degree latitude-longitude grid box during a time period by a set of representative vectors and their associated weights. The specialty of the data set is that the observations are
empirical distributions. Most statistical methods are mainly developed for handling datasets whose observations are in R^d. Statistical inference for this type of data is an open
problem. We start with the commonly used Mallows distance as a measure of distance between two distributions and build a mixture model on empirical distributions with each component
being a Gaussian type distribution. We further fit the model using Data Spectroscopic type of methods for AIRS L3Q data. Finally, we will address some statistical questions such as
classification and prediction on AIRS L3Q data. This is joint work with Dunke Zhou (OSU).
Pfahl 202 Robust Methods (Invited)
Claudio Agostinelli (Ca' Foscari University)
Local Simplicial Depth
Data depth is a distribution-free statistical methodology for graphical/analytical investigation of data sets. The main applications are a center-outward ordering of multivariate
observations, location estimators and some graphical presentations (scale curve, DD-plot). By definition, depth functions provide a measure of centralness which is monotonically
decreasing along any given ray from the deepest point. This implies that any depth function is unable to account for multimodality and mixture distributions. To overcome this problem we
introduce the notion of Local Depth which generalized the concept of depth. The Local Depth evaluates the centrality of a point conditional on a bounded neighborhood. For example, the
local version of simplicial depth is the ordinary simplicial depth, conditional on random simplices whose volume is not greater than a prescribed threshold. These generalized depth
functions are able to record local fluctuations of the density function and are very useful in mode detection, identification of the components in a mixture model and in the definition
of "nonparametric" distance for performing cluster analysis. We provide theoretical results on the behavior of the Local Simplicial Depth and we illustrate. Finally we discuss the
computational problems involved in the evaluation of the Local Simplicial Depth. This is joint work with M. Romanazzi.
Marianthi Markatou (Columbia University)
A closer look at estimators of variance of the generalization error of computer algorithms
We bring together methods from machine learning and statistics to study the problem of estimating the variance of the generalization error of computer algorithms. We study this problem
in the simple context of predicting the sample mean as well as in the case of linear and kernel regression. We illustrate the role of the training and test sample size on the
performance of the estimators and present a simulation study that exemplifies the characteristics of the derived variance estimators and of those existing in the literature.
Ruben Zamar (University of British Columbia)
Clustering using linear patterns
I will first describe a method called linear grouping algorithm (LGA), which can be used to detect different linear structures in a data set. LGA combines ideas from principal
components, clustering methods and resampling algorithms. I will show that LGA can detect several different linear relations at once, but can be affected by the presence of outliers in
the data set. I will then present a robustification of LGA based on trimming. Finally, if time allows, I will present partial likelihood extension of LGA that allows for a flexible
modelling of linear clusters with different scales.
Pfahl 302 Dimension Reduction, Manifold Learning and Graphs (Contributed)
Yuexiao Dong (Temple University)
Nonlinear inverse dimension reduction methods
Many classical dimension reduction methods, especially those based on inverse conditional moments, require the predictors to have elliptical distributions, or at least to satisfy a
linearity condition. Such conditions, however, are too strong for some applications. Li and Dong (2009) introduced the notion of the central solution space and used it to modify
first-order methods, such as sliced inverse regression, so that they no longer rely on these conditions. In this paper we generalize this idea to second-order methods, such as sliced
average variance estimator and directional regression. In doing so we demonstrate that the central solution space is a versatile framework: we can use it to modify essentially all
inverse conditional moment based methods to relax the distributional assumption on the predictors. Simulation studies and an application show a substantial improvement of the modified
methods over their classical counterparts.
Andrew Smith (University of Bristol)
Nonparametric regression on a graph
The 'Signal plus Noise' model for nonparametric regression can be extended to the case of observations taken at the vertices of a graph. This model includes many familiar regression
problems. This talk discusses the use of the edges of a graph to measure roughness in penalized regression. Distance between estimate and observation is measured at every vertex in the
L2 norm, and roughness is penalized on every edge in the L1 norm. Thus the ideas of total-variation penalization can be extended to a graph. This presents computational challenges, so
we present a new, fast algorithm and demonstrate its use with examples, including denoising of noisy images, a graphical approach that gives an improved estimate of the baseline in
spectroscopic analysis, and regression of spatial data (UK house prices).
Minh Tang (Indiana University)
On the relationship between Laplacian eigenmaps and diffusion maps
Laplacian eigenmaps and diffusion maps are two popular techniques for manifold learning. Each of these techniques can be conceived as a technique that constructs a Euclidean
configuration of points by graph embedding. If the graph is undirected, then the diffusion map turns out to be an anisotropic scaling of the Laplacian eigenmap.
Johan Van Horebeek (CIMAT)
ANOVA weighted Kernel PCA based on random projections
For datasets with many observations, we show how random projections can be used to perform in an efficient way kernel PCA and such that insight is obtained about variable importance.
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A161330 - OEIS
A161330 Snowflake (or E-toothpick) sequence (see Comments lines for definition). 22
0, 2, 8, 14, 20, 38, 44, 62, 80, 98, 128, 146, 176, 218, 224, 242, 260, 290, 344, 374, 452, 494, 548, 626, 668, 734, 812, 830, 872, 914, 968, 1058, 1124, 1250, 1340, 1430, 1532, 1598, 1676, 1766,
1856, 1946, 2000, 2066, 2180, 2258, 2384, 2510, 2612, 2714, 2852, 2954, 3116, 3218, 3332, 3494, 3620, 3782, 3896, 3998, 4100 (list; graph; refs; listen; history; text; internal format)
OFFSET 0,2
COMMENTS This sequence is an E-toothpick sequence (cf. A161328) but starting with two back-to-back E-toothpicks.
On the infinite triangular grid, we start at round 0 with no E-toothpicks.
At round 1 we place two back-to-back E-toothpicks, forming a star with six endpoints.
At round 2 we add six more E-toothpicks.
At round 3 we add six more E-toothpicks.
And so on ... (see the illustrations).
The rule for adding new E-toothpicks is as follows. Each E has three ends, which initially are free. If the ends of two E's meet, those ends are no longer free. To go from round n to
round n+1, we add an E-toothpick at each free end (extending that end in the direction it is pointing), subject to the condition that no end of any new E can touch any end of an existing
E from round n or earlier. (Two new E's are allowed to touch.)
The sequence gives the number of E-toothpicks in the structure after n rounds. A161331 (the first differences) gives the number added at the n-th round.
See the entry A139250 for more information about the toothpick process and the toothpick propagation.
Note that, on the infinite triangular grid, a E-toothpick can be represented as a polyedge with three components. In this case, at n-th round, the structure is a polyedge with 3*a(n)
LINKS David Applegate, Table of n, a(n) for n = 0..1000
David Applegate, Illustration of structure after 32 stages. (Contains 1124 E-toothpicks.)
David Applegate, Omar E. Pol and N. J. A. Sloane, The Toothpick Sequence and Other Sequences from Cellular Automata
Ed Jeffery, Illustration of A161330 structure after 32 stages, with E-toothpicks replace by rhombi (the figure on the right is the complementary structure)
Omar E. Pol, Illustration of initial terms of A160120, A161206, A161328, A161330 (Triangular grid and toothpicks) [From Omar E. Pol, Dec 06 2009]
N. J. A. Sloane, A single E-toothpick
N. J. A. Sloane, Catalog of Toothpick and Cellular Automata Sequences in the OEIS
Index entries for sequences related to cellular automata
Index entries for sequences related to toothpick sequences
CROSSREFS Cf. A139250, A139251, A160120, A160172, A161206, A161328, A161331, A161333.
Sequence in context: A016933 A101959 A133229 * A046940 A046939 A082930
Adjacent sequences: A161327 A161328 A161329 * A161331 A161332 A161333
KEYWORD nonn
AUTHOR Omar E. Pol, Jun 07 2009
EXTENSIONS a(9)-a(12) from N. J. A. Sloane, Dec 07 2012.
Corrected and extended by David Applegate, Dec 12 2012
STATUS approved
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Dreams of FRP
Here is a post about how I see programming a game in Functional Reactive Programming. It’s oriented toward people who already get the basics of FRP. It is based on the original paper, rather than the
newer AFRP paper. The “circuitry” model doesn’t seem to fit into my head as well as behaviors and events do, but maybe I’ll see how arrows play into it once I explore the subject a bit more.
This is a dreamy post; I have not actually done any FRP yet (partly because I can’t get the AFRP library to build), but I have read and understood enough to do it in my head. I’m going to write code
in the way I would like to be able to write it, and then sometimes correct it to how I would actually have to write it given lifting and all that bullcrap.
A little refresher: an Event is a just a value that “occurs” at some time (possibly in the “future”). Event is a monad, with its join operation defined by the the occurrence of the value (another
event) that the event returns. a Behavior is a value that depends on time, for example the current position of the mouse or the action that draws the current frame. Behavior is a comonad, with its
cojoin defined by projecting the time into its argument. I think Event and Behavior are nicely dual, but I haven’t really explored it.
The paper gives an example of a bouncing ball, which actually disgusted me for a minute. The “modular” 1-D bounce function’s workings were not obvious or clear, and it wasn’t quite so modular as they
claimed. For example, it incorporated gravity. What the heck does gravity have to do with bouncing?
Upon further thought, I discovered that that is no limitation of FRP. Instead it was just a poor implementation of bouncing balls. Let’s try again.
What is the essence of bouncing? Impulses… which are strangely absent from their implementation. In a traditional model I would implement an impluse simple as a force divided by the delta time. But
FRP explicitly abstracts over time deltas, so that won’t work. What is an impluse then? I’d encode it using an event containing a momentum delta vector.
In order to have events affect behavior, we’ll define a new type, an event stream:
newtype EventStream a = EventStream (Event (a, EventStream a))
It’s just an event which returns a value and a new event stream, containing all subsequent events. Then we can model the sequence of wall-bounces using an EventStream Double (remember we’re in 1-D)
or some such.
To turn event streams back into behaviors, we want a function analogous to scanl for lists:
scanES :: (a -> Time -> b -> a) -> a -> EventStream b -> Behavior a
scanES f init (EventStream e) =
lift0 init `untilB` e +=> \ t (x,es) ->
scanES f (f init t x) es
It takes on the value of init until the first event happens, when it passes the value of the event and the current state to the folding function and takes on the result, etc. I have an inkling that
this is not quite as general as it could be, but it’ll do for now.
Given this format, we can have the bounce function return a stream of impulses:
bounce :: (Double,Double) -- boundaries
-> Double -- radius
-> Behavior Double -- position
-> Behavior Double -- velocity
-> Time -- initial time
-> EventStream Double -- return impulses
bounce (minBound,maxBound) radius pos vel t0 =
stream t0
-- just a helper function so we don't have to repeat all those args
stream :: Time -> EventStream Double
stream t = EventStream (nextImpluse +=> \t' imp -> (imp,stream t'))
collideRight, collideLeft, collide :: Event ()
collideRight = predicate (pos + radius >= maxBound) t0
collideLeft = predicate (pos - radius <= minBound) t0
collide = collideRight .|. collideLeft
nextImpulse :: Event Double
nextImpulse = snapshot collide vel ==> \((),v) -> -2*v
Which I find quite a bit nicer than their version. To get to the bouncing balls:
integrateES :: (Num a) => EventStream a -> Behavior a
integrateES = scanES (\cur t v -> cur + v) 0
ballPos :: Behavior Vec2
ballPos = pos
pos = integrate vel
vel = (1,1) + integrateES imp + integrate accel
accel = (0,-0.5) -- gravity
imp = (impx, impy)
impx = bounce (-10,10) 1 (fst pos) (fst vel) 0
impy = bounce (-10,10) 1 (snd pos) (snd vel) 0
And this is really where FRP is beautiful. This felt incredibly declarative to write: the position is just the integral of velocity, the velocity is just (1,1) + the integral of all impulses + the
integral of acceleration, etc.
Sadly, this is not valid Haskell. I left out all the necessary lifting in both of these snippets. I’m hoping that the arrow notation will be able to alleviate some of the tireless lifting. For
comparison, here’s a correct version of ballPos:
ballPos :: Behavior Vec2
ballPos = pos
pos = integrate vel
vel = liftW2 (\imp' accel' -> (1,1) + imp' + accel')
(integrateES imp) (integrate accel)
accel = lift0 (0,-0.5)
imp = liftW2 (,) impx impy
impx = bounce (-10,10) 1 (liftW fst pos) (liftW fst vel) 0
impy = bounce (-10,10) 1 (liftW snd pos) (liftW snd vel) 0
Which is quite a bit muckier. Still, the concepts are clean and elegant. And I didn’t pull very much at all out of thin air, everything I used was firmly grounded in the paper.
More posts about FRP coming soon!
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With Titan's Grip, a warrior can d/w savagery enchants, which, in my mind, would be just as, if not more useful than either a mongoose or executioner. Sustained +10 dps, at the most basic level,
which, taking the average 2h'r speed, about 3.5, would translate to 35 additional dmg per main hand attack, and 17.5 per off-hand, useful for WW and slam. So, assuming a single target premise, that
is 52.5 more dmg per use of WW, without the talent, or with the +20% talent, it'd be about 63 per use, so 6.3 increased dps, and assuming you have a high crit (I average 47-49% crit chance in a
raid), you'll be critting every other bloodthirst, so that'd be another 35 added dmg per 10 secs, 3.5 more, and furtherly, it adds 45% of the 140 to dmg to bloodthirst, so 63 more dmg per 5 secs, or
126 per 10, adding another 12.6 dps. This is overall a consistent 32.4 dps increase. Now, in an AoE evironment, it is much greater, since, assuming you have the WW glyph, you'll be multiplying that
6.3 from earlier by 5, getting 31.5, so, that'd be a 57.6 dps increase. Now, this is versus d/w mongoose (1 ppm iirc correctly, can stack), which'd average at about 60 agil and 1% haste or so (unless
it has been increased) if the stats were to be spread across a whole fight. Now, that is about 1.5% crit chance, and 1% haste. 1% haste is applied only to white, and white dmg being on average 40% of
my dmg, it only increases my dps by about 6 (I average 1400 dps in a basic raid environment), and the 1.5% crit would increase my dps by another 10 or so, so a 16 dps increase single target, versus
the 32.4 from d/w savagery. I think it needs to have its score boosted from 0, to something with two digits. In no way related to me wanting to see SWP fully in the green. >.>
And no, I don't want to number crunch for executioner.
-Erinsoriac, Uldum Server
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|
American Mathematical Society
Bulletin Notices
AMS Sectional Meeting Program by Day
Current as of Tuesday, April 12, 2005 15:09:49
Program | Deadlines | Registration/Housing/Etc. | Inquiries: meet@ams.org
1998 Spring Western Section Meeting
Davis, CA, April 25-26, 1998
Meeting #934
Associate secretaries:
Robert J Daverman
, AMS
Saturday April 25, 1998
• Saturday April 25, 1998, 7:30 a.m.-5:00 p.m.
Meetings Registration
Lounge, Wellman Hall
• Saturday April 25, 1998, 7:30 a.m.-5:00 p.m.
Exhibit and Book Sale
Lounge, Wellman Hall
• Saturday April 25, 1998, 9:00 a.m.-10:50 a.m.
Special Session on C*-algebras and Dynamics, I
Room 202, Wellman Hall
Jerry Kaminker, Indiana Univ-Purdue Univ at Indianapolis kaminker@math.iupui.edu
Ian Fraser Putnam, University of Victoria putnam@math.uvic.ca
Jack Spielberg, Arizona State University jss@math.la.asu.edu
• Saturday April 25, 1998, 9:00 a.m.-10:55 a.m.
Special Session on Differential Equations with Applications, I
Room 115, Wellman Hall
Sally Sailai Shao, Cleveland State University shao@math.csuohio.edu
Tatsuhiko J. Tabara, Golden Gate University ttabara@ggu.edu
• Saturday April 25, 1998, 9:00 a.m.-10:55 a.m.
Special Session on Dualities in Mathematics and Physics, I
Room 216, Wellman Hall
Edward Frenkel, University of California, Berkeley frenkel@math.berkeley.edu
Nicolai Reshetikhin, University of California, Berkeley reshetik@math.berkeley.edu
□ 9:00 a.m.
Calogero-Moser Systems in Seiberg-Witten Theory.
Eric D'Hoker*, UCLA
D. H. Phong, Columbia University
□ 9:40 a.m.
Field Theory and Intersecting Branes.
Jan de Boer*, UC Berkeley
□ 10:20 a.m.
Heat kernel and localization.
Kefeng Liu*, Stanford University
• Saturday April 25, 1998, 9:00 a.m.-10:45 a.m.
Special Session on Dynamical Systems and Mathematical Physics, I
Room 226, Wellman Hall
Motohico Mulase, University of California, Davis mulase@math.ucdavis.edu
Bruno L Nachtergaele, University of California, Davis bxn@math.ucdavis.edu
□ 9:00 a.m.
Statistical mechanics and super-Brownian motion.
Gordon Slade*, McMaster University
□ 9:45 a.m.
A Stability Property of the Quenched State in Mean Field Spin Glass Models.
Michael Aizenman, Princeton University
Pierluigi Contucci*, Princeton University
□ 10:10 a.m.
Ground states of the Falicov-Kimball model : a lattice Laplacian plus binary potential.
Karl Haller, University of Arizona
Tom G Kennedy*, University of Arizona
• Saturday April 25, 1998, 9:00 a.m.-10:50 a.m.
Special Session on Geometric Analysis, I
Room 119, Wellman Hall
Chikako Mese, University of Southern California mese@math.usc.edu
Richard M. Schoen, Stanford University schoen@gauss.stanford.edu
• Saturday April 25, 1998, 9:00 a.m.-10:50 a.m.
Special Session on The Geometry and Topology of 3-manifolds, I
Room 1, Wellman Hall
Dmitry Fuchs, University of California, Davis fuchs@math.ucdavis.edu
Joel Hass, University of California, Davis hass@math.ucdavis.edu
Ramin Naimi, University of California, Davis naimi@math.ucdavis.edu
William Thurston, University of California, Davis wpt@math.ucdavis.edu
• Saturday April 25, 1998, 9:00 a.m.-10:50 a.m.
Special Session on Graph Theory, I
Room 233, Wellman Hall
David Barnette, University of California, Davis barnette@math.ucdavis.edu
□ 9:00 a.m.
On the total coloring of graphs embeddable in surfaces.
Yue Zhao*, Benedict College
□ 9:30 a.m.
Constructing Infinite 3--connected Graphs.
David Barnette, U. of California
Mar\'{\i}a Jos\'e Ch\'avez, U. de Sevilla (Dpto. Matem\'atica Aplicada I)
Luis M. Fern\'andez, U. de Sevilla (Dpto. Algebra, Computaci\'on, Geometr\'{\i}a y Topolog\'{\i}a)
Alberto M\'arquez, U. de Sevilla (Dpto. Matem\'atica Aplicada I)
Antonio Quintero, U. de Sevilla (Dpto. Algebra, Computaci\'on, Geometr\'{\i}a y Topolog\'{\i}a)
Mar\'{\i}a Trinidad Villar*, U. de Sevilla (Dpto. Algebra, Computaci\'on, Geometr\'{\i}a y Topolog\'{\i}a)
□ 10:00 a.m.
Regular Honest Graphs, Isoperimetric Numbers, and Bisection of Weighted Graphs.
Noga Alon, Tel Aviv University, and Institute for Advanced Study
Peter Hamburger*, Indiana-Purdue University Fort Wayne
Alexandr V. Kostochka, Institute of Mathematics Novosibirsk
□ 10:30 a.m.
Matrices and Graphs.
Moshe Rosenfeld*, Pacific Lutheran University
• Saturday April 25, 1998, 9:00 a.m.-10:20 a.m.
Special Session on Nonlinear Analysis, I
Room 6, Wellman Hall
John K. Hunter, University of California, Davis hunter@math.ucdavis.edu
Blake Temple, University of California, Davis temple@itd.ucdavis.edu
□ 9:00 a.m.
Shock-Waves, Black Holes and Cosmology.
Blake Temple*, University of California, Davis
□ 9:30 a.m.
The Gap Lemma and Geometric Criteria for the Instability of Viscous Shock Profiles.
Robert A. Gardner*, University of Massachusetts, Amherst
Kevin A. Zumbrun, Indiana University
□ 10:00 a.m.
Riemann Problems for Multidimensional Conservation Laws .
Suncica Canic, Iowa State University
Barbara Lee Keyfitz*, University of Houston
• Saturday April 25, 1998, 9:00 a.m.-11:00 a.m.
Special Session on Nonlinear Analysis, II
Room 26, Wellman Hall
John K. Hunter, University of California, Davis hunter@math.ucdavis.edu
Blake Temple, University of California, Davis temple@itd.ucdavis.edu
□ 9:00 a.m.
Description of singularities via the Fuchsian algorithm.
Satyanad Kichenassamy*, Max-Planck-Institut, Leipzig
□ 9:30 a.m.
□ 9:30 a.m.
Navier and Stokes Meet the Wavelet.
Paul Federbush*, University of Michigan
□ 10:00 a.m.
An a priori bound for co-dimension one isometric embeddings.
Yanyan Li, Rutgers University
Gilbert Weinstein*, UAB
□ 10:30 a.m.
On the Nature of the Generic Cosmological Singularity.
Beverly K Berger*, Oakland University
• Saturday April 25, 1998, 11:10 a.m.-12:00 p.m.
Invited Address
Recent Progress in Geometric Langlands Correspondence.
Room 1100, Social Sciences Building
Edward V Frenkel*, University of California, Berkeley
• Saturday April 25, 1998, 1:50 p.m.-2:40 p.m.
Invited Address
C*-algebras and dynamics.
Room 1100, Social Sciences Building
Ian F Putnam*, University of Victoria
• Saturday April 25, 1998, 3:00 p.m.-5:20 p.m.
Special Session on C*-algebras and Dynamics, II
Room 202, Wellman Hall
Jerry Kaminker, Indiana Univ-Purdue Univ at Indianapolis kaminker@math.iupui.edu
Ian Fraser Putnam, University of Victoria putnam@math.uvic.ca
Jack Spielberg, Arizona State University jss@math.la.asu.edu
• Saturday April 25, 1998, 3:00 p.m.-5:55 p.m.
Special Session on Differential Equations with Applications, II
Room 115, Wellman Hall
Sally Sailai Shao, Cleveland State University shao@math.csuohio.edu
Tatsuhiko J. Tabara, Golden Gate University ttabara@ggu.edu
• Saturday April 25, 1998, 3:00 p.m.-5:35 p.m.
Special Session on Dualities in Mathematics and Physics, II
Room 216, Wellman Hall
Edward Frenkel, University of California, Berkeley frenkel@math.berkeley.edu
Nicolai Reshetikhin, University of California, Berkeley reshetik@math.berkeley.edu
• Saturday April 25, 1998, 3:00 p.m.-5:15 p.m.
Special Session on Dynamical Systems and Mathematical Physics, II
Room 226, Wellman Hall
Motohico Mulase, University of California, Davis mulase@math.ucdavis.edu
Bruno L Nachtergaele, University of California, Davis bxn@math.ucdavis.edu
• Saturday April 25, 1998, 3:00 p.m.-3:50 p.m.
Special Session on Finite Groups and Representations, I
Room 7, Wellman Hall
Kenechukwu Kenneth Nwabueze, University of Brunei Darussalam nwabueze@ubd.edu.bn
□ 3:00 p.m.
On the satisfied Models.
Gun-Won Lee*, Seoul National University
□ 3:30 p.m.
The Grothendieck ring of permutation representations of finite groups .
Kenneth K. Nwabueze, Dr.*, University of Brunei Darussalam
• Saturday April 25, 1998, 3:00 p.m.-5:20 p.m.
Special Session on Geometric Analysis, II
Room 119, Wellman Hall
Chikako Mese, University of Southern California mese@math.usc.edu
Richard M. Schoen, Stanford University schoen@gauss.stanford.edu
• Saturday April 25, 1998, 3:00 p.m.-5:20 p.m.
Special Session on The Geometry and Topology of 3-manifolds, II
Room 1, Wellman Hall
Dmitry Fuchs, University of California, Davis fuchs@math.ucdavis.edu
Joel Hass, University of California, Davis hass@math.ucdavis.edu
Ramin Naimi, University of California, Davis naimi@math.ucdavis.edu
William Thurston, University of California, Davis wpt@math.ucdavis.edu
• Saturday April 25, 1998, 3:00 p.m.-4:50 p.m.
Special Session on Graph Theory, II
Room 233, Wellman Hall
David Barnette, University of California, Davis barnette@math.ucdavis.edu
• Saturday April 25, 1998, 3:00 p.m.-5:00 p.m.
Special Session on Nonlinear Analysis, III
Room 6, Wellman Hall
John K. Hunter, University of California, Davis hunter@math.ucdavis.edu
Blake Temple, University of California, Davis temple@itd.ucdavis.edu
• Saturday April 25, 1998, 3:00 p.m.-5:30 p.m.
Special Session on Nonlinear Analysis, IV
Room 26, Wellman Hall
John K. Hunter, University of California, Davis hunter@math.ucdavis.edu
Blake Temple, University of California, Davis temple@itd.ucdavis.edu
• Saturday April 25, 1998, 3:00 p.m.-4:40 p.m.
Session for Contributed Papers
Room 101, Wellman Hall
Inquiries: meet@ams.org
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Simple Substituting and Rearranging
OK - to avoid having to squint at the attachment - and so others can have easier input:
$$DC_sAt = A\left ( C_0-\frac{C_s}{2} \right )\frac{x^{\prime 2}}{2} -\frac{c}{6}\left ( C_0-\frac{7}{6}C_s \right )x^{\prime 3} \qquad \text{...(23)}\\
\text{...from eqn(17), $\phi$ as a function of $x^\prime$ is obtained as follows:}\\
\phi = \frac{ADC}{x^\prime + \frac{cx^{\prime 3}}{2A}}=\frac{ADC_s}{x^\prime}-\frac{cDC_s}{2} \qquad \text{...(24)}\\
\text{...from eqn(23), $1/x^\prime$ as a function of $t$ is obtained:}\\
\text{Put $x^\prime=1/q$ into eqn(27) then:}\\
\frac{2DC_s tq^3}{C_0-\frac{C_s}{2}}=q-\frac{c}{3A}\frac{C_0-\frac{7}{6}C_s}{C_0-\frac{C_s}{2}}\qquad \text{...(25)}\\
\text{Since one is only interested in approximate solutions for a short time,}\\ \text{ the following equation:}\\
q=\left ( \frac{2DC_st}{C_0-\frac{C_s}{2}}\right )^{-1/2}+\delta \qquad \text{...(26)}\\
\text{... may be substituted into eqn(25) to give:}\\
\delta = -\frac{c}{6A}\frac{C_0-\frac{7}{6}C_s}{C_0-\frac{C_s}{2}}\qquad \text{...(27)}\\
\text{if eqn(27) is substituted into eqn(26), and eqn(26) is further substituted into eqn(24),}\\ \text{ one obtains:}\\
\phi = A\left [ DC_s\left ( C_0-\frac{C_s}{2} \right )\frac{1}{2t} \right ]^{1/2} -\frac{4}{9}cDC_s\frac{3C_0-2C_s}{2C_0-C_s}\qquad \text{...(28)}
... so it is eqn 26 that is tricky?
The idea is to approximate for small time frames.
The form of the equation 25 is ##\alpha q^3 = q - \beta## ... which is a cubic equation.
Solve it for q, without making an approximation and compare.
They appear to have approximated it as ##(q-\delta)^2 = \alpha## and that delta is a parameter to be fitted.
Note: between eqn (24) and (25), there is a reference to eqn(27) which I suspect is a typo.
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Palatine Trigonometry Tutor
Find a Palatine Trigonometry Tutor
...Work here can begin with simple multiplication and division, working up to beginning Algebraic equations. The main focus however, is generally in word problems. A good foundation in
understanding and solving word problems not only creates a basis in Mathematics, but also prepares the student for real-life situations.
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I have over 10 years of experience teaching math and English in the public, private, and international school setting. I've taught all levels of math in the middle school and high school levels.
As an experienced classroom teacher (now a stay-at-home mom to two little ones), I know the struggles and triumphs that students face in the classroom.
8 Subjects: including trigonometry, geometry, algebra 1, algebra 2
...I teach a discrete math course at a university entitled Quantitative Reasoning. The text is "For All Practical Purposes". I also teach Intermediate Algebra, College Algebra, Trigonometry and
Calculus at a university.
11 Subjects: including trigonometry, calculus, algebra 2, algebra 1
...They offer life-long skills by offering problem-solving techniques and numerical tools. I have background in peer-tutoring when I was in school, helping in both Physics and Math.This was my
major in college. This is a field I am passionate in and have much background in on a personal, out-of-classroom basis.
16 Subjects: including trigonometry, chemistry, calculus, physics
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Circular Functions Application
October 29th 2010, 03:00 AM
Circular Functions Application
Question Is:
It is suggested that the height h(t) meters of the tide above mean sea level on 1st january at Warnung is given approximately by the rule h(t) = 4sin(pi/6t), where t is the number of hours after
A) when was high tide?
B) what was the height of the tide?
C) what was the height of the tide at 8 am?
D) a boat can only cross the harbour bar when the tide is atleast 1 meter above mean sea level. when could the boat cross the harbour bar on 1st january?
please i need help with this
October 29th 2010, 03:58 AM
If I understand the question (as I'm not so good in English):
A) the sinus function is maximum at pi/2, 2pi+pi/2, 4pi+pi/2, ..., 2n*pi + pi/2...
pi/6 * t = pi/2 , you get t = 3
pi/6 * t = 2pi +pi/2 = 5pi/2 , you get t = 15
pi/6 * t = 4pi +pi/2 = 9pi/2 , you get t = 27 (which is greater then the number of the hours in one day)
So high tide was at 3 and 15 (3pm).
B) the maximum value of the sinus function is 1, so 4*1 = 4
C) just put t = 8: 4sin(pi/6 * 8) = 4sin(pi * 4/3) = 4 * (-0.5) = -2
D) You must find when h is 1. 1 = 4sin(pi/6t), with the calculator (put the DRG to radians!!!) you can find sin-1 of 1/4 is 0.25268... so t = 0.48...
If you sketch the tide you can see that it goes down under 1 again at 6-0.48=5.52 (because of symmetry). And the situation repeats after 12 hours. So the boat can cross from 0.48 to 5.52 and from
12.58 to 17.52.
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Entailment and Basis Optimality in Confidence-Bounded Association Rules
José Balcázar
(2007) Working Paper. [None].
We study the set of association rules which reach a certain confidence threshold in a given dataset. By splitting them into exact rules, that is, rules of confidence~1 characterized in a standard way
by a closure operator, and partial rules, of confidence less than 1, we show how to obtain a basis of the partial rules (a nonredundant subset of these rules such that all the true partial rules can
be derived from them) of absolutely minimum size with respect to a natural notion of semantic entailment. We develop this result from characterizations of the entailment property. Then, we propose
and analyze an extension of this notion of entailment, identifying exactly the cases where a partial association rule is entailed jointly by two partial association rules, again in the presence of a
closure operator capturing exact rules.
EPrint Type: Monograph (Working Paper)
Project Keyword: Project Keyword UNSPECIFIED
Subjects: Theory & Algorithms
ID Code: 3346
Deposited By: José Balcázar
Deposited On: 08 February 2008
|
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Department of Mathematics
The Department of Mathematics at the
was founded in 1950. Today it is one of the leading mathematics departments in Israel. The faculty is engaged in world-class research in both pure and applied Mathematics. The
research interests
of our faculty include algebra, applied mathematics, approximation theory, combinatorics, complex analysis, differential equations, ergodic theory, functional analysis, geometry and topology, linear
algebra, nonlinear analysis, number theory, optimization theory, and probability theory. The Center for Mathematical Sciences
was founded at the department in 1988. Since then it supports a large variety of research activities, conferences, special lecture series, workshops, etc.
The department offers a variety of undergraduate and graduate programs, both in pure and applied Mathematics. Undergraduate students are offered also joint programs with Physics and with Computer
Science. In addition, the department provides courses in Mathematics for students in all other Technion departments. The department also organizes youth events for gifted high school students such as
the Grossman competition in Mathematics and a summer camp in Number Theory (TOMBA 17/19).
|
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South Plainfield Math Tutor
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Supplementary Minor Concentration in Mathematics (18 credits)
Program Requirements
This Minor concentration is open only to students registered in the Major Concentration Mathematics. Taken together, these two concentrations constitute a program equivalent to the Major in
Mathematics offered by the Faculty of Science.
No course overlap between the Major Concentration Mathematics and the Supplementary Minor Concentration in Mathematics is permitted.
Note that according to the Faculty of Arts Multi-track System degree requirements, option C, students registered in the Supplementary Minor Concentration in Mathematics must also complete another
minor concentration in a discipline other than Mathematics.
For more information about the Multi-track System options please refer to the Faculty of Arts regulations under "Faculty Degree Requirements", "About Program Requirements", and "Departmental
Required Course (3 credits)
* Note: If Math 315 has already been taken as part of the Major Concentration Mathematics, an additional 3-credit complementary course must be taken to replace it.
• MATH 315 Ordinary Differential Equations (3 credits) *
Mathematics & Statistics (Sci) : First order ordinary differential equations including elementary numerical methods. Linear differential equations. Laplace transforms. Series solutions.
Terms: Fall 2014, Winter 2015
Instructors: There are no professors associated with this course for the 2014-2015 academic year.
□ Prerequisite: MATH 222.
□ Corequisite: MATH 133.
□ Restriction: Not open to students who have taken or are taking MATH 325.
Complementary Courses (15 credits)
15 credits selected as follows:
3 credits from:
* Note: If either of MATH 249 or MATH 316 has been taken as part of the Major Concentration Mathematics, another 3-credit complementary course must be taken.
• MATH 249 Honours Complex Variables (3 credits) *
Mathematics & Statistics (Sci) : Functions of a complex variable; Cauchy-Riemann equations; Cauchy's theorem and consequences. Taylor and Laurent expansions. Residue calculus; evaluation of real
integrals; integral representation of special functions; the complex inversion integral. Conformal mapping; Schwarz-Christoffel transformation; Poisson's integral formulas; applications.
Terms: Winter 2015
Instructors: There are no professors associated with this course for the 2014-2015 academic year.
□ Winter
□ Prerequisite: MATH 248.
□ Restriction: Intended for Honours Physics and Engineering students
□ Restriction: Not open to students who have taken or are taking MATH 316
• MATH 316 Complex Variables (3 credits) *
Mathematics & Statistics (Sci) : Algebra of complex numbers, Cauchy-Riemann equations, complex integral, Cauchy's theorems. Taylor and Laurent series, residue theory and applications.
Terms: Fall 2014
Instructors: There are no professors associated with this course for the 2014-2015 academic year.
□ Fall
□ Prerequisites: MATH 314 and MATH 243
□ Restriction: Not open to students who have taken or are taking MATH 249, MATH 366, MATH 381 or MATH 466.
12 credits from:
• MATH 204 Principles of Statistics 2 (3 credits)
Mathematics & Statistics (Sci) : The concept of degrees of freedom and the analysis of variability. Planning of experiments. Experimental designs. Polynomial and multiple regressions. Statistical
computer packages (no previous computing experience is needed). General statistical procedures requiring few assumptions about the probability model.
Terms: Winter 2015
Instructors: There are no professors associated with this course for the 2014-2015 academic year.
□ Winter
□ Prerequisite: MATH 203 or equivalent. No calculus prerequisites
□ Restriction: This course is intended for students in all disciplines. For extensive course restrictions covering statistics courses see Section 3.6.1 of the Arts and of the Science sections
of the calendar regarding course overlaps.
□ You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section
of the Calendar.
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Terminating a program with if statement
Anybody? I'm almost done with this program and this is the only thing I have left for it to be done.
do you mean you want the entire program to loop until you enter -99?
You have a while loop for a reason why not use it?
while( g > 299 && g < 8e6 && g != -99 )
or even while( g != -99 )[/code] but i would suggest method one.
Your i == 0 loops are basically the same as while( true ) , while( 1 ) , while( anything ) because all you did was declare int i = 0 then it appears you are doing nothing with it.
He would still need to take out the else statements
No he should be using if / else if and not a bunch of if's like you have. It is best practice to use if/else if vs if if if if if
Topic archived. No new replies allowed.
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Topic: THE SPECIAL RELATIVITY FUDGE
Replies: 2 Last Post: Feb 21, 2013 11:00 AM
Messages: [ Previous | Next ]
Re: THE SPECIAL RELATIVITY FUDGE
Posted: Feb 20, 2013 3:17 PM
Education in Divine Albert's world: For both sound waves and light waves, as the observer starts moving towards the wave source, the frequency increases and the wavelength decreases so that their
product, the speed of the wave, can gloriously remain the same, Divine Einstein, yes we all believe in relativity, relativity, relativity:
"INTRODUCTION: Our ears detect changes in the frequency of sound waves due to the Doppler shift, but the waves change in another way, too: in their wavelength. Wavelength and frequency are closely
related: if one increases, the other decreases. Their product, the speed of the wave, remains the same. The spaceship in this interactive has an instrument which detects electromagnetic radiation.
You can see the wavelength and frequency change as the ship and the source of radiation move through space. EXERCISES: 2. Now click on the "Observer Approaches" button. The ship will start flying
towards the source. What is the wavelength of the waves now, as the ship approaches the source? Does the frequency increase or decrease? SOLUTIONS: 2. The wavelength shrinks so that about three
waves now fit within the graph. (...) The frequency increases."
Pentcho Valev
Date Subject Author
2/20/13 THE SPECIAL RELATIVITY FUDGE Pentcho Valev
2/20/13 Re: THE SPECIAL RELATIVITY FUDGE Pentcho Valev
2/21/13 Re: THE SPECIAL RELATIVITY FUDGE Pentcho Valev
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Challenging algebra problem
October 8th 2010, 01:41 AM
Challenging algebra problem
Dear Sir .
I need some help in the below questions .
Thanks very much
1) When Tom came to London, Kathy was as old as Baba and Tom together.
How old was Tom when Kathy was as old as Baba was when Tom came to London?
2)A swimmer was swimming upstream River A. Near the Bridge R he lost
A ball. After swimming 20 min more upstream he noticed his loss and
swam back to find the ball; he reached it near the Bridge S. Find the
velocity of current at River A if the distance between these two bridges
is 2 km. (Ans: 3 km/h).
How far has the swimmer travelled before he turned back to prick uo the ball.
A schematic diagram can be helpful.
October 8th 2010, 04:14 AM
Let T, K, and B be the ages of Tom, Kathy, and Baba when Tom came to London. Then K= T+ B.
From that K- B= T. That is, Kathy is T years older than Baba and so "Kathy was as old as Baba was when Tom came to London" T years ago. T years ago, Tom's age was T- T= 0!
2)A swimmer was swimming upstream River A. Near the Bridge R he lost
A ball. After swimming 20 min more upstream he noticed his loss and
swam back to find the ball; he reached it near the Bridge S. Find the
velocity of current at River A if the distance between these two bridges
is 2 km. (Ans: 3 km/h).
Let v be the speed of the river relative to its banks, and let V be the speed of the swimmer relative to the river. The swimmer's speed, relative to the banks of the river, swimming upstream is
V- v. The swimmer's speed relative to the banks of the river, swimming downstream is v+ V. All speeds are in km/min. Let T be the time the swimmer swam downstream after the ball. The ball was
floating downstream for T+ 20 minutes and so went a distance v(T+ 20)= 2 km. The swimmer went 20(V- v) km upstream and then T(v+ V) km downstream so we have T(v+ V)- 20(V- v)= 2. Tv+ TV- 20V+ 20v
= V(T- 20)+ v(T+ 20)= V(T- 20)+ 2= 2km. That is V(T- 20)= 0 so either V= 0 (the swimmer was just floating in the river himself and so was always beside the ball) or T= 20.
How far has the swimmer travelled before he turned back to prick uo the ball.
A schematic diagram can be helpful.
October 8th 2010, 06:49 AM
Dear Sir,
thanks very much for the solution but I wonder whether we can solve the problem by looking at relative speed of swimmer with to the current speed. Also I have difficulty in drawing velocity time
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Superposition Theorem
This theorem is a very simple one. Suppose a branch of an electrical circuit is connected to numbers of voltage and current sources. As we can consider electrical current as electrical quantity, it
can be easily assumed that total current flows through the branch is nothing but the summation of all individual currents, contributed by the each individual voltage or current source. This simple
conception mathematically represents the Superposition theorem.
If there are several sources acting simultaneously in an electrical circuit, then the current through any branch of the circuit is summation of currents which would flow through the branch for each
source keeping all other sources dead. Suppose there are n number of sources acting in a circuit due to which I current flows through a particular branch of the circuit. If someone replaces all the
sources from the circuit by their internal resistance except first source which is now acting along in the circuit and giving current I[1] through the said branch, then he or she reconnects the
second source and replaces the first source by its internal resistance. Now the current through that said branch for this second source alone can be assumed I[2]. Similarly if he or she reconnects
the third source and replaces the second source by its internal resistance. Now the current through that said branch for this third source, alone is assumed I[3]. Similarly when n^th source acts
alone in the circuit and all other sources are replaced by their internal electrical resistances, then said I[n] current flows through the said branch of the circuit. Now according to Superposition
theorem, current through the branch when all the sources are acting on the circuit simultaneously, is nothing but summation of these individual current caused by individual sources acting alone on
the circuit.
$I\;=\;I_1\;+I_2\;+\;I_3\;+\cdot \cdot \cdot\;+\;I_n$
Electrical sources may be of two kinds mainly, one is voltage source and other is current source. When we remove the voltage source from a circuit, the voltage, was contributed to the circuit becomes
zero. So for getting zero electric potential difference between the points where the removed voltage source was connected, these two points must be short circuited by zero resistance path. For more
accuracy, one can replace the voltage source by its internal resistance. Now if we remove a current source from the circuit, current is contributed by this source will become zero. Zero current
implies open circuit. So when we remove current source from a circuit, we just disconnect the source from the circuit terminals and keep both terminals open circuited. As the ideal internal
resistance of a current source is infinitely large, removing a current source from a circuit can be alternatively referred as replacing the current source by its internal resistance. So for
superposition theorem, the voltage sources are replaced by short circuits and current sources are replaced by open circuits.
This theorem is only applicable to linear circuit i.e. circuit consisting of resistances in which Ohm's law is valid. In the circuits having non - linear resistances such as thermionic valves,
metallic rectifiers this theorem will not be applicable. This theorem is a more laborious one than many other circuit theorems. But main advantage of this method is that, it avoids solutions of two
or more simultaneous equations. But after a little practice with this method, equations can be written directly from the original circuit diagram and labor in drawing extra diagrams can be saved. For
better understanding of the procedure, we have furnished the different steps of Superposition theorem as follows,
Step - 1
Replace all but one of the sources by their internal resistances.
Step - 2
Determine the currents in various branches using simple Ohm's law.
Step - 3
Repeat the process using each of the sources turn - by turn as the sole source each time.
Step - 4
Add all the currents in a particular branch due to each source. This is the desired value of current at that branch when all the sources acting on the circuit simultaneously.
Example of Superposition Theorem
Suppose there are two voltage sources V[1] and V[2] acting simultaneously on the circuit.
Because of these two voltage sources, say current I flows through the resistance R.
Now replace V[2] by short circuit, keeping V[1] at its position and measure current through the resistance, R. Say it is I[1].
Then replace, V[1] by short circuit, reconnect V[2] to its original position and measure current through the same resistance R and say it is I[2].
Now if we add these two currents, I[1] and I[2] we will get the current which is equal to the current - was actually flowing through R, when both voltage sources V[1] and V[2] were acting on the
circuit simultaneously. That is I[1] + I[2] = I.
Video Presentation of an Example of Superposition Theorem
Please give us your valuable comment/suggestion. This will help us to improve this page.
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In Exile, Clinging to Old Ideas?
To take up the first criticism, we can consider J. Kadane’s new book, Principles of Uncertainty (2011, CRC Press*). Kadane, to his credit, does not beat around the bush as regards his subjective
Bayesian perspective; his is a leading Bayesian voice in the tradition of Savage. He takes up central criticisms of frequentist methods in Chapter 12 called “Exploration of Old Ideas”. So now I am
not only in foundational exile, I am clinging to ideas that are in need of Juvederm!
Here is his criticism: “Flip a biased coin that comes up heads with probability 0.95, and tails with probability 0.05. If the coin comes up tails reject the null hypothesis. Since the probability
of rejecting the null hypothesis if it is true is 0.05, this is a valid 5% level test. It is also very robust against data errors; indeed it does not depend on the data at all. It is also nonsense,
of course, but nonsense allowed by the rules of significance testing.” (439)
But is it allowed? I say no. The null hypothesis in Kadane’s argument can be in any field, perhaps it concerns mean transmission of Scrapie in mice. But as noted in the in the Kuru post, data are
always anomalous in relation to a hypothesis H. Both in significance tests and in scientific hypotheses testing more generally, data indicate inconsistency with H only by being counter to what would
be expected under the assumption that H is correct. Were someone to tell Prusiner the testing methods he follows actually allow any old “improbable” event (a stock split in Apple?) to reject a
hypothesis about prion transmission rates, Prusiner would say that person didn’t understand the requirements of hypothesis testing in science. Since the criticism would hold no water in the analogous
case of Prusiner’s test, it must equally miss its mark in the case of significance tests**. That, recall, was Rule #1.
Now the reader might just say that Kadane is simply making a little joke, but then why include it within a chapter purporting to give serious criticisms of significance testing (and other frequentist
methods)? Don’t the familiar fallacies of significance testing already make it enough of a whipping boy? Following the philosopher’s rule of “generous interpretation”, I will assume the criticisms
are to be taken seriously and to heart.
P.S. Mulina Palace is quite nice.
P.S.S. I understand the old comments can be excavated.
*For non-commercial purposes can download from http://uncertainty.stat.cmu.edu/.
** Statistical tests are even more explicit in setting out a “test statistic.”
4 thoughts on “In Exile, Clinging to Old Ideas?”
To put it another way, the test is valid
but has useless power.
Larry. Kadane admits the “useless power”, but I claim it is invalid. For an error statistician’s P(x;H), the probability of x has to be calculable under (or because) x was due to (or
generated by) a process as described in H. It is not like a conditional probability where the x need have nothing to do with H. That at any rate is my position, and I mentioned this silly
example because I hoped to bring out that rarely noted point. A number of criticisms/misunderstandings revolve around this (including the business of searching). If this is not standard, then
I need to emphasize that interpretation of P(x;H) in my book. Freedman used P(x||H).
I agree the sample size issue makes this example overly contrived. Have you seen John Kruschke’s (author of the popular “Doing Bayesian Data Analysis” book) critique? It’s a bit more compelling:
John Myles White has also been doing a series of blog entries on critiques NHST but in my opinion those critiques are more of a description of well-known properties which impede practical
usefulness than foundational problems (e.g. loss of information, conflation of effect magnitude with sample size).
rv: had never heard of him, but sent him some links regarding the fallacious “argument from intentions” that he appears to be building his industry upon. thanks for the reference.
I welcome constructive comments for 14-21 days
Categories: Statistics Tags: criticism of frequentist methods, Kadane, Prion, Prusiner 4 Comments
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Computing the Galois Group of a Univariate Polynomial (Irreducible or reducible)
Do you mean the group generated by i, j, k, where i^2 = j^2 = k^2 = i*j*k = -1?
One can easily derive i*j = - j*i = k, j*k = - k*j = i, k*i = - i*k = j
Its elements are {1,-1,i,-i,j,-j,k,-k}, 8 of them
Its conjugacy classes are {1}, {-1}, {i,-i}, and likewise for j and k.
Its nontrivial subgroups are {1,-1}, {1,i,-1,-i}, and likewise for j and k.
All of them are normal; they have quotient groups Z2*Z2, and 3 Z2's.
Since it has 8 elements, it is thus a subgroup of S8. Multiplying by an element -> creating a permutation of elements. Since all the multiplication permutations are even, this group is also a
subgroup of A8.
I tried to find out whether it is also a subgroup of S4, S5, S6, or S7 -- as far as I can tell, it isn't. I did that by looking for order-4 elements, finding which pairs of them have an order-4
product, and which pairs a, b of them have a*b*a*b = b*a*b*a. There are some for S8, but not for S7 or smaller index.
So one has to look for a degree-8 polynomial to find one with the quaternion group as the Galois group.
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The Australian Standard Drink
What is a standard drink?
A standard drink is any drink containing 10 grams of alcohol. One standard drink always contains the same amount of alcohol regardless of container size or alcohol type, that is beer, wine, or
A standard drink is a unit of measurement. In the same way one metre measures a particular distance travelled, one standard drink measures a particular amount of alcohol consumed.
What is the standard drink used for?
Instead of counting glasses or containers, drinkers count standard drinks as a way of keeping track of how much alcohol they consume. Counting standard drinks is a much more reliable measure of how
much alcohol is consumed compared to counting glasses, bottles, or cans. Counting glasses, bottles, or cans of alcohol can be misleading because they can contain varying amounts of alcohol.
The consumption limits in the Australian Alcohol Guidelines are based on the standard drink concept.
How many standard drinks in....?
The number of standard drinks in alcohol beverages is always shown on the label of the container.
Examples of how many standard drinks are in typical containers, always check the label or ask bar staff
Standard drinks guide
No label?
Bar and restaurant staff can help in identifying how many standard drinks are in glasses, jugs, and other containers that are not labelled. Restaurants and bars do not all have the same size glasses,
so the number of standard drinks can vary from one licensed venue to the next.
How are standard drinks calculated?
The formula for calculating standard drinks is:
Volume of Container in Litres multiplied by the percentage of alcohol volume multiplied by 0.789, equals the number of standard drinks
0.789 is the specific gravity of ethyl alcohol
For example one stubbie of 375ml of full strength beer 5% alcohol by volume:
0.375 multiplied by 5 multiplied by 0.789 equals 1.5 standard drinks
0.375 X 5 X 0.789 = 1.5 standard drinks
How to count Standard Drinks?
Counting standard drinks is simply a matter of adding numbers.
For example if a person has one nip of spirits and two average restaurant glasses of wine, they would have consumed 4 standard drinks, that is 1 + 1.5 + 1.5
An average serve of wine is usually 150ml. Depending on the venue, glass size can vary from 120 to 180ml.
Some people put a bottle cap or a coaster in their pockets to represent every drink they have. This is not as accurate as counting standard drinks but it is better than not counting.
When counting standard drinks, people should be aware of bar staff or others topping up glasses or where the amount of alcohol is not known such as in mixed drinks, cocktails or punch.
Why count?
The main reason people count their drinks, using standard drinks, is to ensure that the low risk levels set out in the Australian Alcohol Guidelines are not exceeded. The low risk levels define the
number of standard drinks that can be drunk before the threat to a person's health and social well-being moves up into the risky or high risk category.
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Jacqueline's study, "Effect of Heart Failure Clinic on Readmission Rates," studies the effect of how a specialized clinic can affect the hospitalization of congestive heart failure patients after
the initial diagnosis. The human heart is a delicate, complex organ which must function perfectly to ensure life within its host. The heart is divided into two unrelated halves. The left side is
responsible for the systemic cycle, a periodic regulation of pumping which supplies the cells with oxygen and removes carbon dioxide. The other half also has a periodic cycle, known as the
pulmonary cycle, where blood is enriched with oxygen. Both of these periodic cycles can vary from person to person, but researchers have been able to mathematically model these cycles.
Congestive heart failure is a condition where the heart’s function as a pump to deliver oxygenrich blood is impaired. This usually causes the blood flow rate to fluctuate. The blood flow rate can
be measured by the mathematical equation: Figure 3). This equation represents the intensity of blood flow as a function of time and incorporates an individual's blood thickness and heart rate. In
congestive heart failure, these periodic functions are skewed, often because of weakened or stiffened heart muscles.
To study the "Effect of Heart Failure Clinic on Readmission Rates," Jacqueline Graham utilized an observational study. An observational study is a type of research which draws a conclusion by
comparing subjects against a control group, in which the researcher has no control over the experiment. In this instance, Jacqueline chose to use an observational study because inducing
congestive heart failure upon patients is both ethically wrong and unrealistic. The explanatory variable (or independent variable) is divided into two groups representing patients before the
congestive heart failure clinic and patients after the congestive heart failure clinic. This division follows the same separation used in the original research. The sample size of the control
group, those who were not enrolled in the Marymount Hospital Congestive Heart Failure Clinic, was 648 people. The sample size of the treatment group, the patients who were enrolled in the
Congestive Heart Failure Clinic, was 91, 47 males and 44 females.
From the data Jacqueline compiled, she was able to measure two response variables: the total number of readmissions to the hospital and the average length of stay during hospital readmissions.
Jacqueline found that the response variables both matched her hypotheses, and quantity and length of readmissions both decreased. She found that the overall quantity of readmissions fell 44.12
percent. Also, the length of stay decreased on average 66.46 percent among the population.
The problem with all observational studies is that the researcher has no control over the samples. The researchers cannot control the variables, allowing for the intrusion of confounding
variables. In an actual experiment, the experimenter uses random assignment to control confounding variables. For this study, the researcher is at the mercy of the data, which often creates
biased results and can mask cause and effect relationships. Although Jacqueline's sample size is fairly large, it still cannot show a legitimate cause and effect relationship, therefore rendering
her conclusions somewhat suspect.
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2. A basketball team has won 50 games of 75 played. The team still has 45 games to play. How many of the remaining games must the team win in order to win 60% of all games played during the season?
3. A rectangle and a triangle have equal areas. The length of the rectangle is 12 inches, and its width is 8 inches. If the base of the triangle is 32 inches, what is the length, in inches, of the
altitude drawn to the base?
4. A school has 18 classes with 35 students in each class. In order to reduce class size to 30, how many new classes must be formed?
5. A man drives x miles the first day, y miles the second day, and z miles the third day. The average mileage covered per day is
6. What is the slope of the line passing through points A (5,4) and B (0,3)
8. Which of the following pairs of points both lie on the line whose equation is 3x-y= 2
9. If 3x - 1 = 11, what is the value of x 2 + x
10. A bell rings every 2 hours, a second bell rings every 3 hours, and a third bell rings every 4 hours. If all 3 bells ring at 9:00 AM. , at what time will all 3 bells next ring
11. A family spends 20% of its monthly income on food, 23% on rent, and 42% on other expenses and saves the balance. If the family saves $360 per month, what is its monthly income?
12. How many 4-inch by 8-inch bricks are needed to build a walk 6 feet wide and 24 feet long?
13. Each of the numbers below is a solution of the inequality 2x + 3 > 7 EXCEPT
14. A room is 24 feet long, 18 feet wide, and 9 feet high. How many square yards of wallpaper are needed to paper the four walls of the room?
15. The diameter of one bicycle wheel is 28 inches and its spokes run from the hub (or center) to the edge of the rim. The diameter of another bicycle wheel 21 inches. What is the difference in
inches between the length of the spokes of the two wheels
16. Alter working 4 hours, Frank has made 21 machine parts. At the same rate, how many parts can he make in 7 hours
17. In his will, Mr. Adams left 25% of his estate to his wife and unevenly divided the balance between his son and his daughter. If the son received $36,000 as his share, what was the total value of
the estate?
18. 228 people have registered for a sightseeing tour of the Grand Canyon . If a tour director can take 35 people on each tour, how many tour directors will be needed to accomodate everyone?
19. Jennifer bought a brand new sports car. The price of the car was $14,900 including sport wheels, an AM/FM CD stereo, and automatic transmission. The dealer gave her a $1,250 instant rebate on the
price and 0% interest for 60 months. Jennifer made a down payment of $750. What would be the expression for Jennifer's monthly payments if she takes 60 months to pay the remaining balance?
20. Select the number that matches the written value: eight thousandths
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Publications [#60196] of Peter K. Haff
Papers Published
1. Haff, P.K. and Wilets, L., Microscopic theory of nuclear collective motion, Phys. Rev. C, Nucl. Phys. (USA), vol. 7 no. 3 (1973), pp. 951 - 68 [951]
(last updated on 2007/04/10)
A generalization of the Hill-Wheeler generator coordinate method is applied to collective deformations. The intrinsic wave function is constrained (as in constrained Hartree-Fock) to be
characterized not only by a given deformation, but also by a deformation velocity. This is effected by a simple ansatz which involves operation on the singly constrained wave function by an
exponentiated single-particle deformation operator containing an arbitrary function β(α), where α is the collective variable. The expectation value of the energy is minimized with respect to both
β(α) and the Hill-Wheeler projection function f(α). This leads to an integral equation for f which, upon invoking the collective nature of the intrinsic states, may be approximated by a
second-order differential equation in the deformation coordinate α=〈Q〉. Comments are made about the potential energy of deformation surface, which is expected to lie lower than the expectation
value of the Hamiltonian
nuclear collective model;
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Weekly Challenge 27: Cubic Roots
Copyright © University of Cambridge. All rights reserved.
'Weekly Challenge 27: Cubic Roots' printed from http://nrich.maths.org/
A certain cubic polynomial $y=f(x)$ cuts the $x$-axis at the three points $x=10, 100$ and $1000$. Is this enough information to determine the location of its point of inflection (note that this is
not necessarily a stationary point of inflection)? If so, where is this point; if not, why not?
Construct a cubic polynomial which cuts the $x$-axis at $x=10, 100$ and its point of inflection. How many such polynomials are there?
Did you know ... ?
Polynomials have many fascinating properties. A key result of university mathematics is the Fundamental Theorem of Algebra which states that any polynomial of degree $n$ $p(z)= a_nz^n+a_{n-1}z^{n-1}+
\dots+a_0$, with $a_n\neq 0$, has precisely $n$, possibly repeated, complex number solutions.
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Zilch game rules
Jan 1990 zilch Page 1
Zilch is a simple dice game of luck and greed.
It is widely played with remarkably few variations.
6 6-sided dice
Blank paper and writing implement for keeping score
Dice rolls are scored as follows:
ROLL EXAMPLES SCORE in points
6 of a kind 444444 100
Straight 123456 30
3 pair 113344 222266 10
3 of a kind 111 10
4 of a kind TWICE 3 of a kind
5 of a kind TWICE 4 of a kind
5 0.5
None of the above ZILCH
The game is over when any player COMPLETES a turn with
MORE than 100 points. At that point each OTHER player
has one final turn. The highest final score wins the game.
It is customary to boldly circle the score of the first
player to quit with more than 100 points (the initial winner).
This serves as a visible target for the other players.
Any subsequent winning scores are circled even more boldly.
Jan 1990 zilch Page 2
STEPS FOR EACH TURN
Roll the dice
Score the roll
Decide whether to quit or roll the dice again
Finally quit and accept a score
Give dice to the player on your left
THE TURN IN DETAIL
A turn starts with a roll of 6 dice.
The roll is scored according to the chart above. Dice contained
in a scoring combination may be set aside and scored.
Having set aside 1 or more scoring dice, the player then
chooses whether to go for more. To go for more, just pick
up the unscored dice and roll. A player may keep rolling
as long as there is no zilch.
Whenever all 6 dice are scored during the turn ("a turnover")
the player is entitled to pick up all 6 dice and roll again.
Rolling again is called "Greater Glory".
A turnover while in Greater Glory is called Greater Greater Glory.
There is even Greater Greater Greater Glory, etc.
To quit, leave the dice on the rolling surface and
announce the score for the turn.
Each die can be counted in only 1 scoring combination.
If possible, at least one combination MUST be scored on each roll.
When more than 1 combination is rolled, the player may freely
choose to set aside and score whichever seem best and roll the rest.
Actual points scored result only from combinations set aside.
Dice set aside from a previous roll may not be used to form
combinations with dice in the current roll.
A zilch roll immediately ends the TURN with a score of zero.
That is, you lose everything you've scored during the turn (not the
whole game).
The player is allowed to quit instead of rolling 6 dice.
Some combinations can be scored in more than 1 way.
The player may score the dice as desired, even if the result
is less than the maximum possible. For example, 226666 could score
as 12 points for 4 6's, but usually would be scored as 10 points
for 3 pair in order to get the turnover.
Or a player might accept a smaller evaluation in order to approach
100 without going over.
Jan 1990 zilch Page 3
ROLLING TO DETERMINE WHO GOES FIRST
Before the start of the first game in a session, each player
takes a turn. During this turn, the player keeps on rolling
until a zilch occurs. The player with the highest score before
zilching goes first. Players to the left of the first player
go next in succession.
There is no procedure for deciding who goes first to determine
who goes first. You just do it. Besides, going first seems
not to provide any clear advantage.
To save time at the start of subsequent games in a session,
the winner of the just completed game goes first.
BREAKING THE ICE
A player's first score in a game must be at least 5 points.
The chances of zilching immediately are:
6 dice 2.3 %
5 dice 4.6
4 dice 15.8
3 dice 27.8
2 dice 44.4
1 die 66.7
If you keep going until you zilch or turnover:
3 dice turnover 24.5% zilch 75.5%
2 dice turnover 25.9% zilch 74.1%
1 dice turnover 33.3% zilch 66.7%
Most games last 10 to 20 turns. Therefore 7 to 10 points
is often a good score, and 4 to 7 points is possibly
acceptable. Players with large leads typically are not
as greedy as players who are far behind.
Often players discard extra 1's or 5's or even low scoring
3's of a kind in order to roll as many dice as possible.
For example, a high scoring 3 of a kind is more likely
with 5 dice than 3 dice. The chances of zilching with
a lot of points (after turnovers) is greatly reduced
when rolling at least 4 dice.
It's usually better to roll 1 die or 3 dice instead of 2.
3 dice have fewer immediate zilches than 2 dice,
whereas 1 die offers a much better chance at Greater Glory.
Most players are willing to risk losing up to 5 points when
rolling 1 or 2 dice because of the great expectations
of scoring while in Greater Glory.
At the end of the game, it is unwise to quit with more
than 100 but less than a 10 point lead. If you're over,
once you quit, that's it. When you zilch while trying
Jan 1990 zilch Page 4
for a more secure margin of victory, you get one or more
chances on subsequent turns to do even better.
In a close game, quitting with 98 to 100 points
forces opponents to try to win with at least 110.
Some successful players ignore strategy and the odds,
relying on luck and intuition.
Jan 1990 zilch Page 5
MAKING UP FOR LOST TURNS
It is customary to allow players to join the game late,
as long as the game is not too close to completion.
This is called "rabbiting". Whenever it is a late player's
turn, that player takes turns until caught up with previous
players in number of turns. Similarly, if a player is unable
to return to the room when it is time to take one or more
turns, that player is entitled to catch up on turns. Catching
up takes place only when it is that player's turn.
The above arrangements could lead to a situation in which
the catching-up player goes over 100 BEFORE the final turn
of catch up. In that case, the Time Warp is invoked.
For each score by the OTHER players during the catch up
rounds, those players are entitled to resume their rolling
in order of occurrence and with the number of dice they
had available at the time they accepted the scores.
This would call for remembering or writing down the number of
dice associated with those scores, which is rarely done.
Other complications could arise from multiple instances
of undoing. Fortunately, the Time Warp has never been invoked.
PLAYING CONDITIONS
The game is best played on a hard table to assure brisk
random rolls. The dice should be of standard size (6/10"
on a side), uniform color, and in excellent condition.
ABSOLUTE INTEGRITY OF ROLLS
All rolls must be complete. Dice release must be fairly
simultaneous and well-controlled. The dice must land
flat on the rolling surface (with nothing between).
The only exception: if dice land on score paper that
is flat on the table and of virtually no thickness,
the roll is not disqualified.
Active interference with the dice is not allowed.
Passive interference is allowed, as long as position
was clearly established before the dice got close.
Players are expected to observe each roll carefully and
politely call attention to invalid rolls. Upon determination
by the players that a roll is invalid, the roll (NOT the
whole turn) must be done again.
Jan 1990 zilch Page 6
Origin unknown. Possibly a navy or bar game.
Scoring in most versions is 100 times the numbers used here.
Our earlier version of zilch only allowed 3 of a kind
to score, so that 5 4's would score 4 points and still
leave a pair of non-scoring 4's.
Numerous scoresheets of our noteworthy games have been kept
since 1982. Noteworthy events are summarized in Zilch Records.
Our version now includes special scoring notation for
noteworthy zilches. The zero for a 5-die zilch is drawn
as a stylized White Mousehole. 6-die zilches are scored
with Black Mouseholes. If a Mousehole is incurred in some
level of Greater Glory, then each turnover is noted with
a dark bar beneath the Mousehole. The dark bars are called
Chevrons. Truly spectacular, heart-rending instances of
Chevrons are decorated with Fangs, which in extreme cases
are dripping.
It is believed that Mouseholes and Chevrons began in an attempt
to console the victim. Many now consider them to be ominous
markers of unexpected disaster. Let the greedy beware!
White Mousehole
Black Mousehole
Black Mousehole with Chevrons
White Mousehole with Chevrons and dripping Fang
Jan 1990 zilch Page 7
SAMPLE GAME OF ZILCH, between players Alf Alfa and Bee Beta
NOTE: X in scores = 1/2 point
To determine who goes first:
rolls 111335 sets aside 111 scores 10 total for turn 10
rolls 123 sets aside 1 scores 1 total for turn 11
rolls 11 sets aside 11 scores 2 total for turn 13
rolls 115556 sets aside 11555 scores 7 total for turn 20
rolls 3 sets aside scores 0 total for turn 20
rolls 112235 sets aside 1 scores 1 total for turn 1
rolls 35566 sets aside 5 scores X total for turn 1X
rolls 1456 sets aside 1 scores 1 total for turn 2X
rolls 122 sets aside 1 scores 1 total for turn 3X
rolls 36 sets aside scores 0 total for turn 3X
Alf goes first.
Alf rolls 124456 25556 6 points
Bee rolls 124456 23356 3346 0 points
Alf 6 Bee 0
Alf rolls 134446 5 points
Bee rolls 223355 124566 23366 0 points
Alf 11 Bee 0
Alf rolls 244556 11566 3345 255 2 0 points
Bee rolls 233356 146 15
123456 111346 49X points
Alf 11 Bee 49X
Alf rolls 222256 6 0 points
Bee rolls 233455 33344 15
122234 13566 2456 7X points
Alf 11 Bee 57
Alf rolls 124566 22466 0 points
Bee rolls 122234 13456 2466 0 points
Alf 11 Bee 57
Alf rolls 123446 22335 2346 0 points
Bee rolls 122466 24455 2245 455 3 0 points
Alf 11 Bee 57
Alf rolls 134456 13445 3556 113 4X points
Bee rolls 124556 12455 3566 334 0 points
Alf 15X Bee 57
Alf rolls 112345 12346 2446 0 points
Bee rolls 223466 0 points
Alf 15X Bee 57
Alf rolls 122336 23456 1245 135 4 points
Bee rolls 111155
244466 25 points
Alf 19X Bee 82
Alf rolls 234556 24445 6 0 points
Bee rolls 123346 12444 6 points
Alf 19X Bee 88
Alf rolls 122455 22455 1446 126 14 5
223345 11244 2346 0 points
Bee rolls 335566
112444 16 points
Alf 19X Bee 104
Alf's last chance:
Alf rolls 122366 12336 1245 226 0 points
Bee wins!
0 points
Alf 15X Bee 57
Alf rolls 122336 23456 1245 135 4 points
Bee rolls 111155
244466 25 points
Alf 19X Bee 82
Alf rolls 234556 24445 6 0 points
Bee rolls 123346 12444 6 points
Alf 19X Bee 88
Alf rolls 122455 22455 1446 126 14 5
223345 11244 2346 0 points
Bee rolls 335566
112444 16 points
Alf 19X Bee 104
Alf's last chance:
Alf rolls 122366 12336 1245 226 0 points
Bee wins!
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st: Sorting in a table a list of binomial variables by frequency of appa
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st: Sorting in a table a list of binomial variables by frequency of apparition in a survey context
From "Ángel Rodríguez Laso" <angelrlaso@gmail.com>
To statalist@hsphsun2.harvard.edu
Subject st: Sorting in a table a list of binomial variables by frequency of apparition in a survey context
Date Mon, 13 Oct 2008 12:28:20 +0200
Dear Statalisters,
I have a list of binomial variables where 1 means that the individual
has a determined disease. I need a table where proportions (and their
confidence intervals) of these variables (diseases) appear in
descending order. Although tab1 has a sort option, my data belong to a
survey where pweights are used, and tab1 only accepts fweights (that
need to be integers, which is not the case).
Any alternative?
Many thanks.
Angel Rodriguez-Laso
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
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Math Mama Writes...
If anyone reading this blog lives near me (Richmond, California) and wants to join us, please do. We're making snowflakes, nameflakes, and stars, and thinking about symmetry.
You can call me at 510 (Do spambots care about phone numbers?) 236 (I hope not, but if they do, they'll miss this, right?) 8044, for directions.
6 comments:
1. Because most spambots use regular expressions, I suspect the average spambot would still be able to pick up the pattern as a phone number, since phone numbers come in 3-3-4 blocks, and a regular
expression expects some non-digit characters between the blocks. A PERL expression like '(\d\d\d).*(\d\d\d).*(\d\d\d\d)' would still find the number.
On the other hand, something like '406 (1st block) 555 55 55' would be much harder to automatically detect, since the pattern of digits becomes 3 1 3 2 2.
2. Cody, thank you for that explanation! Next time I want to put my phone number online maybe I'll spell out one of the digits.
So you've convinced me that they can find my phone number the way I wrote it, but my other question is why they'd want my phone number.
3. Hi Sue.
This is unrelated to your Math Salon--though I'd like to come sometime!
I recently told you (via dy/dan comment-land) that SLZ High wasn't a good resource for learning about Complex Instruction anymore. I wanted to let you know that I just posted on my blog about
some GOOD CI resources. I hope you'll hop over and check it out!
4. Hi Sue,
We are a homeschool family just moved to Point Richmond. I love your Math Salon idea... both of my children love math when it is fun.
Can we came visit?
Please let me know.
Thanks, Sara
5. Hi Sue,
We are a homeschool family just moved to Point Richmond.
WE love your math salon idea... both of my children love math when it is fun!
can we came visit?
Please let me know.
6. Hi Sara,
I'll respond directly by email. Anyone interested in the salon can email me at suevanhattum on the hotmill (fix that word, you know how) system.
Comments with links unrelated to the topic at hand will not be accepted. (I'm moderating comments because some spammers made it past the word verification.)
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Page d'accueil du laboratoire > Équipe de Probabilités > Page principale > MetaPost
Propaganda, Exemples [1, 2, 3, 4, 5, 6, 7] m3Dplain, Statsmac, Animations, Transparence,
Petite propagande pour MetaPost :
quelques exemples (2)
Previous samples are quite old now, but this doesn't mean that I'm no longer programming simple figures with MetaPost as one may see below.
Paul Broussous and I had some discussions on mathematical graphics and tools for designing them. Once, he showed me how to have a visual perception of p-adic fields Q[p] (where p is some prime
number): it may be represented thru some graphical representation of P^1(Q[p]) which is this field compactified by a point at infinity, itself being the boundary of some infinite tree. A very simple
metapost program (broussous.mp) could have done the job while hand drawing was not totally convincing.
Pol Vanhaecke needed to draw some Dynkin diagrams for a forecoming book. Since I attempted to design such diagrams by the past, I told him that I would have fun making these. The main resulting
program is dynkin.mp which is only an input file. Arrows, breadths, radii and spreads are intended to fit 10 points' Computer Modern. A sample file is vanhaeck.mp (see also vanhaeck.ps.gz) where one
can remark that the syntax is not so far from imed.mp, it is just richer.
Drawing functions or parametrical curves in MetaPost is easy since many things are on the college level. What is more interesting is drawing implicit curves, i.e., curves defined by an equation like
(x, y) in R^2 such that f(x, y)=c,
where f is a quite regular map from R^2 into R. Strangely, numerical methods for solving such problems are never described anywhere. When I was a young student, I spent hours in finding some
technics, and, once found, hours in making them into practice. Recently, Paul Broussous and I discussed of this kind of problems, so I felt like showing him some numerical solutions with MetaPost.
The equation is
(x, y) in R^2 such that x^3 + y^3 - 3xy =0
whose solutions form an elliptic curve. The program is implicit.mp and has been written late in a monday evening. Clicking on the image (which represents equipotential curves associated to the
polynomial on the left-hand side of the equation) one would get a text written in french for an academic purpose.
Stéphane Laurent works on some, step by step, finitely generated filtrations. This involves trees and examples, or counter-examples, are obtained with words valued processes. Designing trees by hands
is a hard task. Doing it with MetaPost is quite easy and leads to high quality drawing as one can see (I hope) below. The program wordtree.mp has not reached its final state but it is yet, I think,
ready for designing many such trees.
Paul Broussous seems to share with me some kind of love for mathematical pictures (I hope we are not the only ones). Every time he attempts to draw a picture with some mathematical software I won't
name (I know nothing about northern America trees), I try to do the same with my own tools (MetaPost of course). The last case is the following:
This picture has been created quite rapidly with my m3Dplain format:
input m3Dplain.mp;
vardef blankdotlabel@#(expr t,loc) =
save lab_; picture lab_;
unfill bbox lab_;
path p;
def Fill(expr c, p, n) =
if Orientation(c) >= 0:
addto currentpicture doublepath c
withpen rule.nib withcolor PenColor
pickup rule.nib;
drawarrow proj(unit,0,0)..proj(4unit,0,0);
label.lft(btex $x$ etex,proj(4unit,0,0));
drawarrow proj(0,unit,0)..proj(0,4unit,0);
label.bot(btex $y$ etex,proj(0,4unit,0));
drawarrow proj(0,0,unit)..proj(0,0,4unit);
label.top(btex $z$ etex,proj(0,0,4unit));
dotlabel.lft(btex $A$ etex, proj(unit,0,0));
dotlabel.rt(btex $B$ etex, proj(-unit,0,0));
dotlabel.urt(btex $N$ etex, proj(0,0,unit));
blankdotlabel.bot(btex $S$ etex, proj(0,0,-unit));
Here is a much better version.
Pol Vanhaecke asked me if I was able to draw some graph on a torus. The problem is the following: in the plane, try to join 5 points with curves, each point being linked directly to every other
point. What happens is that at least one curve intersects another one. This means that it is impossible to embed a complete graph with 5 edges in the plane. What is funny is that it is possible to do
so in the torus as shown below. This picture has been made with the m3D programs, also it was one of the first time I attempted to draw curves on manifolds with them. Jian Qin asked me I still had
the MetaPost code, and since the answser was maybe no, here some new one.
Copyright: HTML's texts or graphics are free of any copyright, they are copyleft. TeX programs are also copyleft but one can send a postcard. MetaPost programs have just a
feel-free-to-send-me-a-postcard licence. MetaFont programs have the standard LaTeX licence.
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