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Interative Methods for Solving Linear Systems, Anne Greenbaum


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Автор: Anne Greenbaum   (Энн Гринбаум)
Название:  Interative Methods for Solving Linear Systems
Перевод названия: Энн Гринбаум: Интерактивные методы решения линейных систем
ISBN: 9780898713961
Издательство: Marston Book Services
Классификация:





ISBN-10: 089871396X
Обложка/Формат: Paperback
Страницы: 235
Вес: 0.04 кг.
Дата издания: 1997-09-30
Серия: Frontiers in applied mathematics
Язык: English
Иллюстрации: Illustrations
Размер: 229 x 152 x 12
Читательская аудитория: Professional and scholarly
Основная тема: Calculus & mathematical analysis,Numerical analysis,Applied mathematics
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Much recent research has concentrated on the efficient solution of large sparse or structured linear systems using iterative methods. A language loaded with acronyms for a thousand different algorithms has developed, and it is often difficult even for specialists to identify the basic principles involved. Here is a book that focuses on the analysis of iterative methods.

The author includes the most useful algorithms from a practical point of view and discusses the mathematical principles behind their derivation and analysis. Several questions are emphasized throughout: Does the method converge? If so, how fast? Is it optimal, among a certain class? If not, can it be shown to be near-optimal? The answers are presented clearly, when they are known, and remaining important open questions are laid out for further study. Greenbaum includes important material on the effect of rounding errors on iterative methods that has not appeared in other books on this subject.

Additional important topics include a discussion of the open problem of finding a provably near-optimal short recurrence for non-Hermitian linear systems; the relation of matrix properties such as the field of values and the pseudospectrum to the convergence rate of iterative methods; comparison theorems for preconditioners and discussion of optimal preconditioners of specified forms; introductory material on the analysis of incomplete Cholesky, multigrid, and domain decomposition preconditioners, using the diffusion equation and the neutron transport equation as example problems. A small set of recommended algorithms and implementations is included.



Iterative Methods for Sparse Linear Systems, 2 ed.

Автор: Saad, Yousef
Название: Iterative Methods for Sparse Linear Systems, 2 ed.
ISBN: 0898715342 ISBN-13(EAN): 9780898715347
Издательство: Wiley
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Цена: 180230.00 T
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Описание: This second edition gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations.

Methods for Solving Systems of Nonlinear Equations

Автор: Werner C. Rheinboldt
Название: Methods for Solving Systems of Nonlinear Equations
ISBN: 089871415X ISBN-13(EAN): 9780898714159
Издательство: Mare Nostrum (Eurospan)
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Цена: 60190.00 T
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Описание: This volume discusses the ideas behind non linear equations as well as their theoretical foundations and properties.

Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems

Автор: Vasile Dragan; Toader Morozan; Adrian-Mihail Stoic
Название: Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
ISBN: 1441906290 ISBN-13(EAN): 9781441906298
Издательство: Springer
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Цена: 135090.00 T
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Описание: This book provides a common unifying framework for discrete-time stochastic systems corrupted with both independent random perturbations and with Markovian jumps. These subjects are typically covered independently.

Optimal Control Methods for Linear Discrete-Time Economic Systems

Автор: Y. Murata
Название: Optimal Control Methods for Linear Discrete-Time Economic Systems
ISBN: 1461257395 ISBN-13(EAN): 9781461257394
Издательство: Springer
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Цена: 81050.00 T
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Описание: As our title reveals, we focus on optimal control methods and applications relevant to linear dynamic economic systems in discrete-time variables.

Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice

Автор: Daniel Bienstock
Название: Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice
ISBN: 1475776721 ISBN-13(EAN): 9781475776720
Издательство: Springer
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Цена: 93160.00 T
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Описание: Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems.


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