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Each chapter are updated by shortening or deleting outdated topics, adding topics of more recent interest and adapting the Notes and References section.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 by NA
Publisher:
SIAM
Series:
eBooksDir
Year:
2011
Pages:
285
Type:
PDF
Language:
English
ISBN-10 #:
1611970725
ISBN-13 #:
9781611970722
Country:
Pakistan
License:
N\A
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About Author :-
The author NA
NA
Book Contents :-
conver the following topics.
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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