Sparse symmetric preconditioners for dense linear systems in electromagnetism
β Scribed by B. Carpentieri; I. S. Duff; L. Giraud; M. Magolu monga Made
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 232 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1070-5325
- DOI
- 10.1002/nla.345
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β¦ Synopsis
Abstract
We consider symmetric preconditioning strategies for the iterative solution of dense complex symmetric nonβHermitian systems arising in computational electromagnetics. In particular, we report on the numerical behaviour of the classical incomplete Cholesky factorization as well as some of its recent variants and consider also wellβknown factorized approximate inverses. We illustrate the difficulties that those techniques encounter on the linear systems under consideration and give some clues to explain their disappointing behaviour. We propose two symmetric preconditioners based on Frobeniusβnorm minimization that use a prescribed sparsity pattern. The numerical and computational efficiency of the proposed preconditioners are illustrated on a set of model problems arising both from academic and from industrial applications. Copyright Β© 2004 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
This paper introduces techniques based on diagonal threshold tolerance when developing multi-elimination and multi-level incomplete LU (ILUM) factorization preconditioners for solving general sparse linear systems. Existing heuristics solely based on the adjacency graph of the matrices have been use