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...
Saved in:
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 |
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 |
Similar Items
-
Templates for the solution of algebraic eigenvalue problems /
Published: (2000) -
Lanczos algorithms for large symmetric eigenvalue computations. Vol. 1, Theory /
by: Cullum, Jane K., 1938-
Published: (2002) -
Numerical methods for Eigenvalue problems /
by: Börm, Steffen
Published: (2012) -
Inverse Eigenvalue problems : theory, algorithms, and applications /
by: Chu, Moody Ten-Chao
Published: (2005) -
Numerical methods for general and structured eigenvalue problems /
by: Kressner, Daniel
Published: (2005)