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Shift-splitting preconditioners for saddle point problems.

Authors :
Yang Cao
Jun Du
Qiang Niu
Source :
Journal of Computational & Applied Mathematics. Dec2014, Vol. 272, p239-250. 12p.
Publication Year :
2014

Abstract

In this paper, we first present a shift-splitting preconditioner for saddle point problems. The preconditioner is based on a shift-splitting of the saddle point matrix, resulting in an unconditional convergent fixed-point iteration. Based on the idea of the splitting, we further propose a local shift-splitting preconditioner. Some properties of the local shift-splitting preconditioned matrix are studied. These preconditioners extend those studied by Bai, Yin and Su for solving non-Hermitian positive definite linear systems (Bai et al., 2006). Finally, numerical experiments of a model Stokes problem are presented to show the effectiveness of the proposed preconditioners. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03770427
Volume :
272
Database :
Academic Search Index
Journal :
Journal of Computational & Applied Mathematics
Publication Type :
Academic Journal
Accession number :
96978573
Full Text :
https://doi.org/10.1016/j.cam.2014.05.017