Abstract
A new implementation of restarted Krylov subspace methods for evaluating f (A) b for a function f, a matrix A and a vector b is proposed. In contrast to an implementation proposed previously, it requires constant work and constant storage space per restart cycle. The convergence behavior of this scheme is discussed and a new stopping criterion based on an error indicator is given. The performance of the implementation is illustrated for three parabolic initial value problems, requiring the evaluation of exp (A) b. © 2008 Elsevier Inc. All rights reserved.
Original language | English |
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Pages (from-to) | 2293-2314 |
Number of pages | 21 |
Journal | Linear Algebra and its Applications |
Volume | 429 |
Issue number | 10 |
DOIs | |
Publication status | Published - 1 Nov 2008 |
Keywords
- Krylov subspace approximation
- Matrix function
- Polynomial interpolation
- Rational approximation
- Restarted Arnoldi/Lanczos method
- Stopping criterion based on error indicator