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8 result(s) for "MATHEMATICS / Advanced bisacsh"
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A Primer on Mapping Class Groups (PMS-49)
The study of the mapping class group Mod(S) is a classical topic that is experiencing a renaissance. It lies at the juncture of geometry, topology, and group theory. This book explains as many important theorems, examples, and techniques as possible, quickly and directly, while at the same time giving full details and keeping the text nearly self-contained. The book is suitable for graduate students.
Scientific Computing with Multicore and Accelerators
By offering insight into the process of constructing and effectively using the technology, this volume provides a thorough and practical introduction to the area of hybrid computing. It discusses introductory concepts and simple examples of parallel computing, logical and performance debugging for parallel computing, and advanced topics and issues related to the use and building of many applications. The book focuses on the latest microarchitectures, including the STI Cell BE, and covers applications in high-performance multimedia and gaming, solid mechanics, fluid dynamics, molecular modeling, computational biology, drug design, and biomedicine.
Practical algorithms for 3D computer graphics
This second edition presents up-to-date algorithms that are the core of all 3D computer graphics software packages. Using Core OpenGL and OpenGL ES, the book enables readers to create a complete suite of programs for 3D computer animation, modeling, and image synthesis. This edition includes three new chapters on real-time 3D programming using OpenGL, 3D graphics for mobile devices, and the open source OpenFX 3D tools suite. Source code, documentation, and much more are available on the author's website.
Natural Language Processing
This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also emphasizes the portions of mathematics needed to understand the discussed algorithms.
Natural Language Processing
This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also emphasizes the portions of mathematics needed to under
Computational Methods for Data Evaluation and Assimilation
This self-contained book presents interdisciplinary methods for integrating experimental and computational information in many scientific and engineering areas. It explains how to estimate covariances and confidence intervals from experimental data. It then describes algorithms for both unconstrained and constrained minimization of large-scale systems, such as time-dependent variational data assimilation in weather prediction. The book also discusses several basic principles of four-dimensional variational assimilation (4D VAR) and highlights specific difficulties in applying 4D VAR to large-scale operational numerical weather prediction models.
The Silent Sex
Do women participate in and influence meetings equally with men? Does gender shape how a meeting is run and whose voices are heard?The Silent Sexshows how the gender composition and rules of a deliberative body dramatically affect who speaks, how the group interacts, the kinds of issues the group takes up, whose voices prevail, and what the group ultimately decides. It argues that efforts to improve the representation of women will fall short unless they address institutional rules that impede women's voices. Using groundbreaking experimental research supplemented with analysis of school boards, Christopher Karpowitz and Tali Mendelberg demonstrate how the effects of rules depend on women's numbers, so that small numbers are not fatal with a consensus process, but consensus is not always beneficial when there are large numbers of women. Men and women enter deliberative settings facing different expectations about their influence and authority. Karpowitz and Mendelberg reveal how the wrong institutional rules can exacerbate women's deficit of authority while the right rules can close it, and, in the process, establish more cooperative norms of group behavior and more generous policies for the disadvantaged. Rules and numbers have far-reaching implications for the representation of women and their interests. Bringing clarity and insight to one of today's most contentious debates,The Silent Sexprovides important new findings on ways to bring women's voices into the conversation on matters of common concern.
Categorical data analysis
Praise for the Second Edition \"A must-have book for anyone expecting to do research and/or applications in categorical data analysis.\" —Statistics in Medicine \"It is a total delight reading this book.\" —Pharmaceutical Research \"If you do any analysis of categorical data, this is an essential desktop reference.\" —Technometrics The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis. Categorical Data Analysis, Third Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. This edition also features: * An emphasis on logistic and probit regression methods for binary, ordinal, and nominal responses for independent observations and for clustered data with marginal models and random effects models * Two new chapters on alternative methods for binary response data, including smoothing and regularization methods, classification methods such as linear discriminant analysis and classification trees, and cluster analysis * New sections introducing the Bayesian approach for methods in that chapter * More than 100 analyses of data sets and over 600 exercises * Notes at the end of each chapter that provide references to recent research and topics not covered in the text, linked to a bibliography of more than 1,200 sources * A supplementary website showing how to use R and SAS; for all examples in the text, with information also about SPSS and Stata and with exercise solutions Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.