Direct Methods for Sparse Matrices, O. Osterby; Z. Zlatev

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: Duff I. S
Название: Direct Methods for Sparse Matrices
ISBN: 0198508387 ISBN-13(EAN): 9780198508380
Издательство: Oxford Academ
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Описание: The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis. Efficient use of sparsity is a key to solving large problems in many fields. This book provides both insight and answers for those attempting to solve these problems.

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: Wolfgang Hackbusch
Название: Hierarchical Matrices: Algorithms and Analysis
ISBN: 3662473232 ISBN-13(EAN): 9783662473238
Издательство: Springer
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Цена: 15372.00 р.
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Описание: However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error.

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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Цена: 6986.00 р.
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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: Abraham Berman
Название: Cones, Matrices and Mathematical Programming
ISBN: 3540061231 ISBN-13(EAN): 9783540061236
Издательство: Springer
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Цена: 15372.00 р.
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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.

Автор: Bhatia, Rajendra
Название: Positive definite matrices
ISBN: 0691129185 ISBN-13(EAN): 9780691129181
Издательство: Wiley
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Цена: 6486.00 р.
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Описание: Represents the synthesis of research into positive definite matrices. This book gives techniques that have applications in the study of such matrices. It introduces several key topics in functional analysis, operator theory, harmonic analysis, and differential geometry - all built around the central theme of positive definite matrices.