期刊名称：American Journal of Computational Mathematics
印刷版ISSN：2161-1203
电子版ISSN：2161-1211
出版年度：2011
卷号：1
期号：4
页码：252-255
DOI：10.4236/ajcm.2011.14030
出版社：Scientific Research Publishing
摘要：In this paper, we provide new preconditioner for saddle point linear systems with (1,1) blocks that have a high nullity. The preconditioner is block triangular diagonal with two variable relaxation paremeters and it is extension of results in [1] and [2]. Theoretical analysis shows that all eigenvalues of preconditioned matrix is strongly clustered. Finally, numerical tests confirm our analysis.
关键词：Saddle Point Linear Systems; Block Triangular Preconditioner; Krylov Subspace Methods
