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Numerical Methods for Large Eigenvalue Problems Book

Numerical Methods for Large Eigenvalue Problems
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Numerical Methods for Large Eigenvalue Problems, 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 variou, Numerical Methods for Large Eigenvalue Problems
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  • Numerical Methods for Large Eigenvalue Problems
  • Written by author Y. Saad
  • Published by SIAM, 5/28/2011
  • 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 variou
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Preface to the Classics Edition; Preface; 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; References; Index.


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Numerical Methods for Large Eigenvalue Problems, 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 variou, Numerical Methods for Large Eigenvalue Problems

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Numerical Methods for Large Eigenvalue Problems, 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 variou, Numerical Methods for Large Eigenvalue Problems

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Numerical Methods for Large Eigenvalue Problems, 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 variou, Numerical Methods for Large Eigenvalue Problems

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