We discuss a class of deflated block Krylov subspace methods for solving large scale matrix eigenvalue problems. The efficiency of an Arnoldi-type method is examined in computing partial or closely clustered eigenvalues of large matrices. As an improvement, we also propose a refined variant of the A
Block Krylov–Schur method for large symmetric eigenvalue problems
✍ Scribed by Yunkai Zhou; Yousef Saad
- Publisher
- Springer US
- Year
- 2008
- Tongue
- English
- Weight
- 995 KB
- Volume
- 47
- Category
- Article
- ISSN
- 1017-1398
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