Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4640380 | Journal of Computational and Applied Mathematics | 2010 | 7 Pages |
Abstract
For large sparse saddle point problems, Chen and Jiang recently studied a class of generalized inexact parameterized iterative methods (see [F. Chen, Y.-L. Jiang, A generalization of the inexact parameterized Uzawa methods for saddle point problems, Appl. Math. Comput. 206 (2008) 765–771]). In this paper, the methods are modified and some choices of preconditioning matrices are given. These preconditioning matrices have advantages in solving large sparse linear system. Numerical experiments of a model Stokes problem are presented.
Keywords
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Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yang Cao, Mei-Qun Jiang, Lin-Quan Yao,