Numerical Methods for Large Eigenvalue Problems (Classics in Applied Mathematics, Series Number 66) - Softcover

Saad, Yousef

Softcover

ISBN 10: 1611970725 ISBN 13: 9781611970722

Publisher: Society for Industrial and Applied Mathematics, 2011

Synopsis

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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section.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.

About this title

Book Description

This revised edition discusses numerical methods for computing the eigenvalues and eigenvectors of large sparse matrices. For researchers in applied mathematics and scientific computing, and can also be used as a supplementary text for an advanced graduate course on these methods.

From the Publisher

Offers a timely, in-depth perspective of numerical techniques used in solving large matrix eigenvalue problems arising in diverse engineering and scientific applications. Although important material for symmetric problems is covered, the focus is placed on more difficult nonsymmetric issues. Features solid theoretical treatment-- all of the latest plus well-known methods--and lists of some key computer programs.

Edition details

• Publisher: Society for Industrial and Applied Mathematics
• Publication date: 2011
• ISBN 10: 1611970725
• ISBN 13: 9781611970722
• Binding: Paperback
• Language: English
• Number of pages: 340