Title
The spectral properties of the preconditioned matrix for nonsymmetric saddle point problems
Abstract
In this paper, on the basis of matrix splitting, two preconditioners are proposed and analyzed, for nonsymmetric saddle point problems. The spectral property of the preconditioned matrix is studied in detail. When the iteration parameter becomes small enough, the eigenvalues of the preconditioned matrices will gather into two clusters-one is near (0,0) and the other is near (2,0)-for the PPSS preconditioner no matter whether A is Hermitian or non-Hermitian and for the PHSS preconditioner when A is a Hermitian or real normal matrix. Numerical experiments are given, to illustrate the performances of the two preconditioners.
Year
DOI
Venue
2010
10.1016/j.cam.2010.06.001
J. Computational Applied Mathematics
Keywords
Field
DocType
preconditioned matrix,numerical experiment,nonsymmetric saddle point problem,phss preconditioner,spectral property,small enough,real normal matrix,matrix splitting,iteration parameter,ppss preconditioner,preconditioner,normal matrix
Saddle point,Preconditioner,Matrix (mathematics),Mathematical analysis,Hermitian matrix,Eigenvalues and eigenvectors,Mathematics,Matrix splitting,Numerical linear algebra,Normal matrix
Journal
Volume
Issue
ISSN
235
1
0377-0427
Citations 
PageRank 
References 
3
0.40
18
Authors
3
Name
Order
Citations
PageRank
Jian-Lei Li1132.67
Ting-Zhu Huang2851101.81
Liang Li3181.81