Numerical Methods for Large Eigenvalue Problems (Paperback, Revised edition)

This revised edition discusses numerical methods for computing the 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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section.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."

General

Imprint:	Society For Industrial & Applied Mathematics,U.S.
Country of origin:	United States
Series:	Classics in Applied Mathematics, 66
Release date:	May 2011
First published:	2011
Authors:	Yousef Saad
Dimensions:	229 x 152 x 15mm (L x W x T)
Format:	Paperback - Trade
Pages:	292
Edition:	Revised edition
ISBN-13:	978-1-61197-072-2
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Science & Mathematics > Mathematics > Algebra > General
LSN:	1-61197-072-5
Barcode:	9781611970722

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