出版社:清华大学出版社
年代:2011
定价:59.0
本书是求解代数特征值问题模板方面的实用指南,从理论、模型,软件应用等方面提供求解代数特征值问题的实用指导。
List of Symbols and Acronyms
List of Iterative Algorithm Templates
List of Direct Algorithms
List of Figures
List of Tables
1 Introduction
2 A Brief Tour of Eigenproblems
3 An Introduction to Iterative Projection Methods
4 Hermitian Eigenvalue Problems
5 Generalizes Hermitian Eigenvalue Problems
6 Singular Value Decomposition
7 Non-Hermitian Eigenvalue Problems
8 Generalized Non-Hermitian Eigenvalue Problems
9 Nonlineer Eigenvalue Problems
10 Common Issues
List of Symbols and Acronyms
List of Iterative Algorithm Templates
List of Direct Algorithms
List of Figures
List of Tables
1 Introduction
2 A Brief Tour of Eigenproblems
3 An Introduction to Iterative Projection Methods
4 Hermitian Eigenvalue Problems
5 Generalizes Hermitian Eigenvalue Problems
6 Singular Value Decomposition
7 Non-Hermitian Eigenvalue Problems
8 Generalized Non-Hermitian Eigenvalue Problems
9 Nonlineer Eigenvalue Problems
10 Common Issues
11 Preconditioning Techniques
Appendix.Of Things Not Treated
Bibliography
Index
Tsinghua University Press is authorized by SIAM to publish and
distribute exclusively this English language reprint edition.This
edition is authorized for sale in the People,S Republic of China
only(excluding Hong Kong,Macao SAR and Taiwan).Unauthorized export
of this edition is a violation of the Copyright Act.No part of this
publication may be reproduced or distributed by any means,or stored
in a database or retrieval system,without the prior written
permission of the publisher.
Large-scale problems of engineering and scientific computing
often reqUlre solutions of eigenvalue and related problems This
book gives a unified overview of theory.aIgorithms.and practical
software for eigenvalue problems.It organizes this large body of
material to make it accessible for the first time to experts as
well as many nonexpert users who need to choose the best
state.of-the-art algorithms and software for their problems.Using
an informaI decision tree.range enough theory is introduced to
identify the relevant mathematicaI structure that determines the
best aIgorithm for each problem.
The algorithms and software at the“leaves”of the deci5iOC tree
range from the classical QR algorithm.which is most suitable for
small dense matrices.to iterative algorithms for very large
generalized eigenvalue problems.Algorithms are presented in a
unified style as template5.with different levels of detail suitable
for readers rangino from beginning students to experts。The
authors'comprehensive treatment includes a treasure of further
bibliographic information.
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书名 | 求解代数特征值问题模板站内查询相似图书 | ||
丛书名 | 国际著名数学图书 | ||
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出版地 | 北京 | 出版单位 | 清华大学出版社 |
版次 | 影印本 | 印次 | 1 |
定价(元) | 59.0 | 语种 | 英文 |
尺寸 | 26 × 19 | 装帧 | 平装 |
页数 | 印数 | 3000 |
求解代数特征值问题模板是清华大学出版社于2011.出版的中图分类号为 O151.21 的主题关于 代数-特征值问题-英文 的书籍。
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