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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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Add 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 to the inventory that you are selling on WonderClubX
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Add 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 to your collection on WonderClub |