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 Title Numerical Methods for Large Eigenvalue Problems, Revised Edition
 Author(s) Yousef Saad
 Publisher: SIAM  Society for Industrial & Applied Mathematics; Revised edition edition (May 17, 2011)
 Hardcover/Paperback 292 pages
 eBook Online, PDF files
 Language: English
 ISBN10: 1611970725
 ISBN13: 9781611970722
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Book Description
This book is intended for researchers in applied mathematics and scientific computing as well as for practitioners interested in understanding the theory of numerical methods used for eigenvalue problems. It also can be used as a supplemental text for an advanced graduatelevel course on these methods.
This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an indepth 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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.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 JacobiDavidson method, and automatic multilevel substructuring.
About the Authors 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.
 Numerical Analysis and Scientific Computing
 Algebra, Abstract Algebra, and Linear Algebra, etc.
 Fortran Programming Language
 Parallel Computing and Programming
 Computational Complexity
 Algorithms and Data Structures
 Computational and Algorithmic Mathematics
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