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9%OFFYousef Saad - Numerical Methods for Large Eigenvalue Problems - 9781611970722 - V9781611970722
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Numerical Methods for Large Eigenvalue Problems

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Description for Numerical Methods for Large Eigenvalue Problems Paperback.
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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section.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.

Product Details

Format
Paperback
Publication date
2011
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
340
Condition
New
Number of Pages
340
Place of Publication
New York, United States
ISBN
9781611970722
SKU
V9781611970722
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-3

About Yousef Saad
Yousef Saad is a College of Science and Engineering Distinguished Professor in the Department of Computer Science at the University of Minnesota. His current research interests include numerical linear algebra, sparse matrix computations, iterative methods, parallel computing, numerical methods for electronic structure and data analysis. He is a Fellow of SIAM and the AAAS.

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