ARPACK users' guide : solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods /

ARPACK users' guide : solution of large-scale eigenvalue problems with implicitly restarted Arnoldi methods /

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 th...

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Bibliographic Details
Author / Creator:Lehoucq, R. B. (Richard B.)
Imprint:Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 1998.
Description:1 online resource (xv, 142 pages) : illustrations, digital file
Language:English
Series:Software, environments, tools ; 6
Software, environments, tools ; 6.
Subject:ARPACK (Computer file)
ARPACK (Computer file)
Eigenvalues -- Data processing.
Eigenvalues -- Data processing.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12577296
Hidden Bibliographic Details
Other authors / contributors:Sorensen, D. C. (Danny C.)
Yang, C. (Chao)
Society for Industrial and Applied Mathematics.
ISBN:9780898719628
0898719623
9780898714074
0898714079
Notes:Title from title screen, viewed 12/30/2010.
Includes bibliographical references (pages 133-136) and index.
Restricted to subscribers or individual electronic text purchasers.
Also available in print version.
Summary: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.
Other form:Print version: Lehoucq, R.B. (Richard B.). ARPACK users' guide. Philadelphia : SIAM, 1998 0898714079

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