Numerical methods for large eigenvalue problems /

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Bibliographic Details
Author / Creator:Saad, Y.
Edition:Rev. ed.
Imprint:Philadelphia : Society for Industrial and Applied Mathematics, ©2011.
Description:1 online resource (xvi, 276 pages)
Language:English
Series:Classics in applied mathematics ; 66
Classics in applied mathematics ; 66.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12577485
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Other authors / contributors:Society for Industrial and Applied Mathematics.
ISBN:9781611970739
1611970733
9781611970722
1611970725
Notes:Includes bibliographical references (pages 259-269) and index.
Summary: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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.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.
Other form:Print version: Saad, Y. Numerical methods for large eigenvalue problems. Rev. ed. Philadelphia : Society for Industrial and Applied Mathematics, ©2011 9781611970722