Deflated and Augmented Krylov Subspace Techniques
โ Scribed by Andrew Chapman; Yousef Saad
- Book ID
- 101286531
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 210 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1070-5325
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โฆ Synopsis
We present a general framework for a number of techniques based on projection methods on 'augmented Krylov subspaces'. These methods include the deflated GMRES algorithm, an inner-outer FGMRES iteration algorithm, and the class of block Krylov methods. Augmented Krylov subspace methods often show a significant improvement in convergence rate when compared with their standard counterparts using the subspaces of the same dimension. The methods can all be implemented with a variant of the FGMRES algorithm.
๐ SIMILAR VOLUMES
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