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[资源] Numerical Methods for Large Eigenvalue Problems

一本介绍特征值求解的基本方法以及加速技巧等等。
Author: Yousef Saad
Publisher: Society for Industrial and Applied Mathematics (SIAM).
Edition: This is the second edition (2011).
Preface:
This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices.
It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that
arise in various engineering and scientific applications. Each chapter was updated by shortening or deleting outdated
topics, adding topics of more recent interest, and adapting the Notes and References section.

Significant changes have been made to Chapters 6 through 8, which describe algorithms and their implementations and
now include topics such as the implicit restart techniques, the Jacobi—Davidson method, and automatic multilevel substructuring.

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附件 1 : Numerical_Methods_for_Large_Eigenvalue_Problems,_Revised_Edition_-SIAM(2011).pdf

2014-07-10 11:28:00, 1.09 M