Numerical Methods for Large Eigenvalue Problems

Name: Numerical Methods for Large Eigenvalue Problems
Brand: SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
Price: 182.75 AUD
Availability: BackOrder

By: Yousef Saad

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Paperback | 24 August 2011

At a Glance

Paperback
340 Pages

Edition Type
Revised

Dimensions(cm)
22.23 x 15.24 x 1.91

Paperback

RRP $191.00

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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section.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

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