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Numerical Methods for Large Eigenvalue Problems by Yousef Saad
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About this book :- This book 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. It also can be used as a supplemental text for an advanced graduate-level course on these methods. Each chapter are updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section.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.
Book Detail :- This book has following details information. Title: Numerical Methods for Large Eigenvalue Problems by Yousef Saad Publisher: SIAM Year: 2011 Pages: 285 Type: PDF Language: English ISBN-10 #: 1611970725 ISBN-13 #: 9781611970722 License: N\A Get this book from Amazon
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Book Contents :- This book has following table of contents. 1. Background in Matrix Theory and Linear Algebra 2. Sparse Matrices 3. Perturbation Theory and Error Analysis 4. The Tools of Spectral Approximation 5. Subspace Iteration 6. Krylov Subspace Methods 7. Filtering and Restarting Techniques 8. Preconditioning Techniques 9. Non-Standard Eigenvalue Problems 10. Origins of Matrix Eigenvalue Problems
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