ARPACK Users' Guide

ARPACK Users' Guide
Author: Richard B. Lehoucq
Publisher: SIAM
Total Pages: 150
Release: 1998-01-01
Genre: Mathematics
ISBN: 0898714079


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This book is a guide to understanding and using the software package ARPACK to solve large algebraic eigenvalue problems. The software described is based on the implicitly restarted Arnoldi method, which has been heralded as one of the three most important advances in large scale eigenanalysis in the past ten years. The book explains the acquisition, installation, capabilities, and detailed use of the software for computing a desired subset of the eigenvalues and eigenvectors of large (sparse) standard or generalized eigenproblems. It also discusses the underlying theory and algorithmic background at a level that is accessible to the general practitioner.


Large Scale Eigenvalue Problems
Language: en
Pages: 339
Authors: J. Cullum
Categories: Mathematics
Type: BOOK - Published: 1986-01-01 - Publisher: Elsevier

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Results of research into large scale eigenvalue problems are presented in this volume. The papers fall into four principal categories: novel algorithms for solv
ARPACK Users' Guide
Language: en
Pages: 150
Authors: Richard B. Lehoucq
Categories: Mathematics
Type: BOOK - Published: 1998-01-01 - Publisher: SIAM

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This book is a guide to understanding and using the software package ARPACK to solve large algebraic eigenvalue problems. The software described is based on the
Numerical Methods for Large Eigenvalue Problems
Language: en
Pages: 292
Authors: Yousef Saad
Categories: Mathematics
Type: BOOK - Published: 2011-01-01 - Publisher: SIAM

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This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numeri
Templates for the Solution of Algebraic Eigenvalue Problems
Language: en
Pages: 430
Authors: Zhaojun Bai
Categories: Computers
Type: BOOK - Published: 2000-01-01 - Publisher: SIAM

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Mathematics of Computing -- Numerical Analysis.
Numerical Methods for General and Structured Eigenvalue Problems
Language: en
Pages: 272
Authors: Daniel Kressner
Categories: Mathematics
Type: BOOK - Published: 2006-01-20 - Publisher: Springer Science & Business Media

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This book is about computing eigenvalues, eigenvectors, and invariant subspaces of matrices. Treatment includes generalized and structured eigenvalue problems a