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Handbook of matrices, Lutkepohl, Helmut


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Автор: Lutkepohl, Helmut
Название:  Handbook of matrices
ISBN: 9780471970156
Издательство: Wiley
Классификация:



ISBN-10: 0471970158
Обложка/Формат: Paperback
Страницы: 320
Вес: 0.48 кг.
Дата издания: 08.07.1996
Язык: English
Иллюстрации: Black & white illustrations
Размер: 228 x 152 x 19
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Matrices are used in many fields such as statistics, econometrics, mathematics, natural sciences and engineering. They provide a concise, simple method for describing long and complicated computations. This is a comprehensive handbook and dictionary of terms for matrix theory.


      Старое издание

Introduction to random matrices

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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Цена: 11088.00 р.
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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.

Matrices and Determiniods

Автор: Cullis
Название: Matrices and Determiniods
ISBN: 1107414261 ISBN-13(EAN): 9781107414266
Издательство: Cambridge Academ
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Цена: 9186.00 р.
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Описание: Originaly published in 1925, this book forms part of a three-volume work created to expand upon a series of lectures delivered at the University of Calcutta during the winter of 1909-10. The chief feature of all three volumes is that they deal with rectangular matrices and determinoids as distinguished from square matrices and determinants.

Positive Definite Matrices

Автор: Bhatia Rajendra
Название: Positive Definite Matrices
ISBN: 0691168253 ISBN-13(EAN): 9780691168258
Издательство: Wiley
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Цена: 5069.00 р.
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Описание: This book represents the first synthesis of the considerable body of new research into positive definite matrices. These matrices play the same role in noncommutative analysis as positive real numbers do in classical analysis. They have theoretical and computational uses across a broad spectrum of disciplines, including calculus, electrical enginee

Matrix Calculus and Zero-One Matrices

Автор: Turkington
Название: Matrix Calculus and Zero-One Matrices
ISBN: 0521807883 ISBN-13(EAN): 9780521807883
Издательство: Cambridge Academ
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Цена: 15840.00 р.
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Описание: Shows how mathematical tools taken from matrix calculations and zero-one matrices greatly facilitate the application of classical statistical procedures to econometric models.

Random Matrices,142

Автор: Madan Lal Mehta
Название: Random Matrices,142
ISBN: 0120884097 ISBN-13(EAN): 9780120884094
Издательство: Elsevier Science
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Цена: 19370.00 р.
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Описание: Gives a description of analytical methods devised to study random matrices. This work reflects the developments in the field. It includes a coverage of skew-orthogonal and bi-orthogonal polynomials and their use in the evaluation of some multiple integrals. It also presents Fredholm determinants and Painleve equations.

Matrices and Matroids for Systems Analysis

Автор: Kazuo Murota
Название: Matrices and Matroids for Systems Analysis
ISBN: 3642039936 ISBN-13(EAN): 9783642039935
Издательство: Springer
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Цена: 23058.00 р.
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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.

Spectral Analysis of Large Dimensional Random Matrices

Автор: Zhidong Bai; Jack W. Silverstein
Название: Spectral Analysis of Large Dimensional Random Matrices
ISBN: 1461425921 ISBN-13(EAN): 9781461425922
Издательство: Springer
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Цена: 24456.00 р.
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Описание: This book introduces basic concepts, main results and widely-applied mathematical tools in the spectral analysis of large dimensional random matrices. This updated edition includes two new chapters and summaries from the field of random matrix theory.

Matrices: Algebra, Analysis and Applications

Автор: Friedland Shmuel
Название: Matrices: Algebra, Analysis and Applications
ISBN: 981466796X ISBN-13(EAN): 9789814667968
Издательство: World Scientific Publishing
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Цена: 30096.00 р.
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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.

Infinite Matrices and Their Recent Applications

Автор: Shivakumar
Название: Infinite Matrices and Their Recent Applications
ISBN: 3319301799 ISBN-13(EAN): 9783319301792
Издательство: Springer
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Цена: 10760.00 р.
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Описание:

This monograph covers the theory of finite and infinite matrices over the fields of real numbers, complex numbers and over quaternions. Emphasizing topics such as sections or truncations and their relationship to the linear operator theory on certain specific separable and sequence spaces, the authors explore techniques like conformal mapping, iterations and truncations that are used to derive precise estimates in some cases and explicit lower and upper bounds for solutions in the other cases.
Most of the matrices considered in this monograph have typically special structures like being diagonally dominated or tridiagonal, possess certain sign distributions and are frequently nonsingular. Such matrices arise, for instance, from solution methods for elliptic partial differential equations. The authors focus on both theoretical and computational aspects concerning infinite linear algebraic equations, differential systems and infinite linear programming, among others. Additionally, the authors cover topics such as Bessel’s and Mathieu’s equations, viscous fluid flow in doubly connected regions, digital circuit dynamics and eigenvalues of the Laplacian.
Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition

Автор: Haruo Yanai; Kei Takeuchi; Yoshio Takane
Название: Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition
ISBN: 1461428599 ISBN-13(EAN): 9781461428596
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This valuable reference on projectors, generalized inverses, and SVD covers concepts numerous cutting-edge concepts and provides systematic and in-depth accounts of these ideas from the viewpoint of linear transformations of finite dimensional vector spaces.

Multivariate Statistics: Theory And Applications - Proceedings Of The Ix Tartu Conference On Multivariate Statistics And Xx International Workshop On Matrices And Statistics

Автор: Kollo Tonu
Название: Multivariate Statistics: Theory And Applications - Proceedings Of The Ix Tartu Conference On Multivariate Statistics And Xx International Workshop On Matrices And Statistics
ISBN: 9814449393 ISBN-13(EAN): 9789814449397
Издательство: World Scientific Publishing
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Цена: 16790.00 р.
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Описание: The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications of multivariate statistical methods. A paper on Pearson-Kotz-Dirichlet distributions by Professor N Balakrishnan contains main results of the Samuel Kotz Memorial Lecture. Extensions of linear models to multivariate exponential dispersion models and Growth Curve models are presented, and several papers on classification methods are included. Applications range from insurance mathematics to medical and industrial statistics and sampling algorithms.

Random matrices: high dimensional phenomena

Автор: Blower, Gordon
Название: Random matrices: high dimensional phenomena
ISBN: 0521133122 ISBN-13(EAN): 9780521133128
Издательство: Cambridge Academ
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Цена: 10138.00 р.
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Описание: An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts.


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