Автор: Kenneth W. Johnson Название: Group Matrices, Group Determinants and Representation Theory ISBN: 3030282996 ISBN-13(EAN): 9783030282998 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book sets out an account of the tools which Frobenius used to discover representation theory for nonabelian groups and describes its modern applications. It provides a new viewpoint from which one can examine various aspects of representation theory and areas of application, such as probability theory and harmonic analysis. For example, the focal objects of this book, group matrices, can be thought of as a generalization of the circulant matrices which are behind many important algorithms in information science. The book is designed to appeal to several audiences, primarily mathematicians working either in group representation theory or in areas of mathematics where representation theory is involved. Parts of it may be used to introduce undergraduates to representation theory by studying the appealing pattern structure of group matrices. It is also intended to attract readers who are curious about ideas close to the heart of group representation theory, which do not usually appear in modern accounts, but which offer new perspectives.
Автор: Blower, Gordon Название: Random matrices: high dimensional phenomena ISBN: 0521133122 ISBN-13(EAN): 9780521133128 Издательство: Cambridge Academ Рейтинг: Цена: 10138.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts.
Автор: Piotr Krylov; Askar Tuganbaev Название: Formal Matrices ISBN: 331953906X ISBN-13(EAN): 9783319539065 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Moh Tzuong-Tsieng Название: Linear Algebra and Its Applications ISBN: 981323542X ISBN-13(EAN): 9789813235427 Издательство: World Scientific Publishing Рейтинг: Цена: 14256.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
From Tzuong-Tsieng Moh, a seasoned expert in algebra, comes a new book for students to better understand linear algebra. Writing from an experienced standpoint, Moh covers the many standard aspects comprising linear algebra, such as echelon forms, matrix algebra, linear transformations, and more. Moh further includes several advanced topics and applications, as well as self-correcting codes, Heisenberg's uncertainty principle, Maxwell's equations in relativity form, Google's search engine, and the theory of finitely generated modules over a PID. This book is ideal for both newcomers and experienced readers who want to attain a deeper understanding on both the basics and advanced topics of linear algebra and its vast applications. The wide range of topics combined with the depth of each discussion make it essential to be on the shelf of every mathematical beginner and enthusiast.
Автор: Yuli Eidelman; Israel Gohberg; Iulian Haimovici Название: Separable Type Representations of Matrices and Fast Algorithms ISBN: 3034806116 ISBN-13(EAN): 9783034806114 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Albrecht B?ttcher; Bernd Silbermann Название: Introduction to Large Truncated Toeplitz Matrices ISBN: 1461271398 ISBN-13(EAN): 9781461271390 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to Large Truncated Toeplitz Matrices is a text on the application of functional analysis and operator theory to some concrete asymptotic problems of linear algebra. The book contains results on the stability of projection methods, deals with asymptotic inverses and Moore-Penrose inversion of large Toeplitz matrices, and embarks on the asymptotic behavoir of the norms of inverses, the pseudospectra, the singular values, and the eigenvalues of large Toeplitz matrices. The approach is heavily based on Banach algebra techniques and nicely demonstrates the usefulness of C*-algebras and local principles in numerical analysis. The book includes classical topics as well as results obtained and methods developed only in the last few years. Though employing modern tools, the exposition is elementary and aims at pointing out the mathematical background behind some interesting phenomena one encounters when working with large Toeplitz matrices. The text is accessible to readers with basic knowledge in functional analysis. It is addressed to graduate students, teachers, and researchers with some inclination to concrete operator theory and should be of interest to everyone who has to deal with infinite matrices (Toeplitz or not) and their large truncations.
Автор: S. Ejaz Ahmed; Francisco Carvalho; Simo Puntanen Название: Matrices, Statistics and Big Data ISBN: 3030175189 ISBN-13(EAN): 9783030175184 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data. The contributions were originally presented at the 25th International Workshop on Matrices and Statistics (IWMS 2016), held in Funchal (Madeira), Portugal on June 6-9, 2016. The IWMS workshop series brings together statisticians, computer scientists, data scientists and mathematicians, helping them better understand each other’s tools, and fostering new collaborations at the interface of matrix theory and statistics.
Автор: Yuli Eidelman; Israel Gohberg; Iulian Haimovici Название: Separable Type Representations of Matrices and Fast Algorithms ISBN: 3034806051 ISBN-13(EAN): 9783034806053 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: D. Rose Название: Sparse Matrices and their Applications ISBN: 1461586771 ISBN-13(EAN): 9781461586777 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains papers on sparse matrices and their appli- cations which were presented at a Symposium held at the IBM Thomas J. This is a very active field of research since efficient techniques for handling sparse matrix calculations are an important aspect of problem solving.
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