Back to Search
Start Over
Computation of matrix functions with deflated restarting
- Source :
-
Journal of Computational & Applied Mathematics . Jan2013, Vol. 237 Issue 1, p223-233. 11p. - Publication Year :
- 2013
-
Abstract
- Abstract: A deflated restarting Krylov subspace method for approximating a function of a matrix times a vector is proposed. In contrast to other Krylov subspace methods, the performance of the method in this paper is better. We further show that the deflating algorithm inherits the superlinear convergence property of its unrestarted counterpart for the entire function and present the results of numerical experiments. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 03770427
- Volume :
- 237
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Computational & Applied Mathematics
- Publication Type :
- Academic Journal
- Accession number :
- 79805621
- Full Text :
- https://doi.org/10.1016/j.cam.2012.07.020