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Fundamentals of Matrix Computations, Watkins David S.

Fundamentals of Matrix Computations

Автор: Watkins David S.
Название:  Fundamentals of Matrix Computations
Издательство: Wiley
Классификация:
Алгебра

ISBN: 0470528338
ISBN-13(EAN): 9780470528334
ISBN: 0-470-52833-8
ISBN-13(EAN): 978-0-470-52833-4
Обложка/Формат: Hardback
Страницы: 644
Вес: 1.062 кг.
Дата издания: 06.07.2010
Серия: Pure and applied mathematics: a wiley series of texts, monographs and tracts
Язык: ENG
Издание: 3 rev ed
Иллюстрации: Illustrations
Размер: 23.62 x 16.05 x 3.99 cm
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: * This Third Edition explains how to perform matrix computations efficiently and accurately by providing a detailed introduction to the fundamental ideas of numerical linear algebra and utilizes MATLAB(R) to perform elaborate computational experiments.

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     Старое издание
Fundamentals of Matrix Computations, 2nd Edition

Автор: David S. Watkins
Название: Fundamentals of Matrix Computations, 2nd Edition
ISBN: 0471213942 ISBN-13(EAN): 9780471213949
Издательство: Wiley
Цена: 8444 р.
Наличие на складе: Нет в наличии.
Описание: A significantly revised and improved introduction to a critical aspect of scientific computation Matrix computations lie at the heart of most scientific computational tasks. For any scientist or engineer doing large-scale simulations, an understanding of the topic is essential. "Fundamentals of Matrix Computations, Second Edition" explains matrix computations and the accompanying theory clearly and in detail, along with useful insights. This Second Edition of a popular text has now been revised and improved to appeal to the needs of practicing scientists and graduate and advanced undergraduate students. New to this edition is the use of MATLAB for many of the exercises and examples, although the Fortran exercises in the First Edition have been kept for those who want to use them. This new edition includes: numerous examples and exercises on applications including electrical circuits, elasticity (mass-spring systems), and simple partial differential equations; early introduction of the singular value decomposition; a new chapter on iterative methods, including the powerful preconditioned conjugate-gradient method for solving symmetric, positive definite systems; and an introduction to new methods for solving large, sparse eigenvalue problems including the popular implicitly - restarted Arnoldi and Jacobi-Davidson methods. With in-depth discussions of such other topics as modern component wise error analysis, reorthogonalization, and rank-one updates of the QR decomposition, "Fundamentals of Matrix Computations, Second Edition" will prove to be a versile companion to novice and practicing mathematicians who seek mastery of matrix computation.
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Fundamentals of Matrix Computations, 2nd Edition

Автор: David S. Watkins
Название: Fundamentals of Matrix Computations, 2nd Edition
ISBN: 0471213942 ISBN-13(EAN): 9780471213949
Издательство: Wiley
Цена: 8444 р.
Наличие на складе: Нет в наличии.
Описание: A significantly revised and improved introduction to a critical aspect of scientific computation Matrix computations lie at the heart of most scientific computational tasks. For any scientist or engineer doing large-scale simulations, an understanding of the topic is essential. "Fundamentals of Matrix Computations, Second Edition" explains matrix computations and the accompanying theory clearly and in detail, along with useful insights. This Second Edition of a popular text has now been revised and improved to appeal to the needs of practicing scientists and graduate and advanced undergraduate students. New to this edition is the use of MATLAB for many of the exercises and examples, although the Fortran exercises in the First Edition have been kept for those who want to use them. This new edition includes: numerous examples and exercises on applications including electrical circuits, elasticity (mass-spring systems), and simple partial differential equations; early introduction of the singular value decomposition; a new chapter on iterative methods, including the powerful preconditioned conjugate-gradient method for solving symmetric, positive definite systems; and an introduction to new methods for solving large, sparse eigenvalue problems including the popular implicitly - restarted Arnoldi and Jacobi-Davidson methods. With in-depth discussions of such other topics as modern component wise error analysis, reorthogonalization, and rank-one updates of the QR decomposition, "Fundamentals of Matrix Computations, Second Edition" will prove to be a versile companion to novice and practicing mathematicians who seek mastery of matrix computation.
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Introduction to Matrix Computations,

Автор: G. W. Stewart
Название: Introduction to Matrix Computations,
ISBN: 0126703507 ISBN-13(EAN): 9780126703504
Издательство: Elsevier Science
Цена: 7157 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
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Linear Algebra and Matrix Computations for Statistics

Название: Linear Algebra and Matrix Computations for Statistics
ISBN: 1420095382 ISBN-13(EAN): 9781420095388
Издательство: Taylor&Francis
Цена: 4399 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: Linear algebra and the study of matrix algorithms have become fundamental to the development of statistical models. Using a vector-space approach, this book provides an understanding of the major concepts that underlie linear algebra and matrix analysis. Each chapter introduces a key topic, such as infinite-dimensional spaces, and provides illustrative examples. The authors examine recent developments in diverse fields such as spatial statistics, machine learning, data mining, and social network analysis. Complete in its coverage and accessible to students without prior knowledge of linear algebra, the text also includes results that are useful for traditional statistical applications.
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Parallel Algorithms for Matrix Computations

Автор: Gallivan
Название: Parallel Algorithms for Matrix Computations
ISBN: 0898712602 ISBN-13(EAN): 9780898712605
Издательство: Cambridge Academ
Цена: 2629 р.
Наличие на складе: Поставка под заказ.
Описание: This volume consists of two comprehensive survey papers on parallel algorithms for solving problems arising in the major areas of numerical linear algebra - direct solution of linear systems, least squares computations, eigenvalue and singular value computations, and rapid elliptic solvers.
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Lanczos Algorithms for Large Symmetric Eigenvalue Computations

Автор: Jane K. Cullum
Название: Lanczos Algorithms for Large Symmetric Eigenvalue Computations
ISBN: 0898715237 ISBN-13(EAN): 9780898715231
Издательство: Cambridge Academ
Цена: 3943 р.
Наличие на складе: Поставка под заказ.
Описание: First published in 1985, this book presents background material, descriptions, and supporting theory relating to practical numerical algorithms for the solution of huge eigenvalue problems. This book deals with ‘symmetric’ problems. However, in this book, ‘symmetric’ also encompasses numerical procedures for computing singular values and vectors of real rectangular matrices and numerical procedures for computing eigenelements of nondefective complex symmetric matrices. Although preserving orthogonality has been the golden rule in linear algebra, most of the algorithms in this book conform to that rule only locally, resulting in markedly reduced memory requirements. Additionally, most of the algorithms discussed separate the eigenvalue (singular value) computations from the corresponding eigenvector (singular vector) computations. This separation prevents losses in accuracy that can occur in methods which, in order to be able to compute further into the spectrum, use successive implicit deflation by computed eigenvector or singular vector approximations.
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