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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Numerical Methods for Large Eigenvalue Problems

Numerical Methods for Large Eigenvalue Problems

Saad, Yousef

Paperback

Series: Classics in Applied Mathematics, Book 66

AlgebraGeneral Mathematics

Currently unavailable to order

ISBN10: 1611970725
ISBN13: 9781611970722
Publisher: Cambridge
Published: May 26 2011
Pages: 340
Weight: 0.85
Height: 0.70 Width: 6.10 Depth: 8.90
Language: English
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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section.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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