Hierarchical Matrices: Algorithms and Analysis, Wolfgang Hackbusch

Автор: Vladimir Tsurkov
Название: Hierarchical Optimization and Mathematical Physics
ISBN: 1461371120 ISBN-13(EAN): 9781461371120
Издательство: Springer
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Описание: This book should be considered as an introduction to a special dass of hierarchical systems of optimal control, where subsystems are described by partial differential equations of various types.

Автор: Anderson, Greg W. Guionnet, Alice Zeitouni, Ofer
Название: Introduction to random matrices
ISBN: 0521194520 ISBN-13(EAN): 9780521194525
Издательство: Cambridge Academ
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Описание: The theory of random matrices plays an important role in many areas of pure mathematics. This rigorous introduction is specifically designed for graduate students in mathematics or related sciences, who have a background in probability theory but have not been exposed to advanced notions of functional analysis, algebra or geometry.

Автор: Yuli Eidelman; Israel Gohberg; Iulian Haimovici
Название: Separable Type Representations of Matrices and Fast Algorithms
ISBN: 3034806051 ISBN-13(EAN): 9783034806053
Издательство: Springer
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Описание: Here is a systematic theoretical and computational study of generalizations of separable matrices. Covers quasiseparable and semiseparable representations of matrices and minimal rank completion problems, factorization and inversion fast algorithms and more.

Автор: Gelman
Название: Data analysis using regression and multilevel/hierarchical models
ISBN: 052168689X ISBN-13(EAN): 9780521686891
Издательство: Cambridge Academ
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Описание: Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.

Автор: Gerald Farin; Bernd Hamann; Hans Hagen
Название: Hierarchical and Geometrical Methods in Scientific Visualization
ISBN: 364262801X ISBN-13(EAN): 9783642628016
Издательство: Springer
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Описание: The nature of the physical Universe has been increasingly better understood in recent years, and cosmological concepts have undergone a rapid evolution (see, e.g., [11], [2],or [5]).

Автор: V. Kulish
Название: Hierarchical Methods
ISBN: 9401740585 ISBN-13(EAN): 9789401740586
Издательство: Springer
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Описание: Experience shows that indeed `systematically remaining` problems are mainly of a complex tech- logical nature (the creation of new generation of especially perfect - croschemes, elements of memory, etc. But let us note that amongst these problems there are always ones solved by our purely intellectual efforts alone.

Автор: Yuli Eidelman; Israel Gohberg; Iulian Haimovici
Название: Separable Type Representations of Matrices and Fast Algorithms
ISBN: 3034806116 ISBN-13(EAN): 9783034806114
Издательство: Springer
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Описание: This book is the second in a two-volume work that examines several types of generalizations of separable matrices. It addresses the eigenvalue problem for matrices with quasiseparable structure and applications to the polynomial root finding problem.

Автор: Kazuo Murota
Название: Matrices and Matroids for Systems Analysis
ISBN: 3540660240 ISBN-13(EAN): 9783540660248
Издательство: Springer
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Описание: This is an introduction to matroid theory, emphasizing motivations from matrix theory and applications to systems analysis. It serves also as a presentation of the theory and application of mixed matrices, developed primarily by the author in the 1990s.

Автор: Kazuo Murota
Название: Matrices and Matroids for Systems Analysis
ISBN: 3642039936 ISBN-13(EAN): 9783642039935
Издательство: Springer
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Описание: This book offers a unique introduction to matroid theory, emphasizing motivations from matrix theory and applications to systems analysis. It serves also as a comprehensive presentation of the theory and application of mixed matrices.

Автор: Friedland Shmuel
Название: Matrices: Algebra, Analysis and Applications
ISBN: 981466796X ISBN-13(EAN): 9789814667968
Издательство: World Scientific Publishing
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Описание: This volume deals with advanced topics in matrix theory using the notions and tools from algebra, analysis, geometry and numerical analysis. It consists of seven chapters that are loosely connected and interdependent. The choice of the topics is very personal and reflects the subjects that the author was actively working on in the last 40 years. Many results appear for the first time in the volume. Readers will encounter various properties of matrices with entries in integral domains, canonical forms for similarity, and notions of analytic, pointwise and rational similarity of matrices with entries which are locally analytic functions in one variable. This volume is also devoted to various properties of operators in inner product space, with tensor products and other concepts in multilinear algebra, and the theory of non-negative matrices. It will be of great use to graduate students and researchers working in pure and applied mathematics, bioinformatics, computer science, engineering, operations research, physics and statistics.

Автор: Abraham Berman
Название: Cones, Matrices and Mathematical Programming
ISBN: 3540061231 ISBN-13(EAN): 9783540061236
Издательство: Springer
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Описание: This monograph is a revised set of notes on recent applications of the theory of cones, arising from lectures I gave during my stay at the Centre de recherches mathematiques in Montreal. The second is devoted to applications to mathematical programming and the third to matrix theory.