Title
On the semi-convergence of regularized HSS iteration methods for singular saddle point problems.
Abstract
Recently, Bai and Benzi proposed a class of regularized Hermitian and skew-Hermitian splitting (RHSS) iteration methods for solving the nonsingular saddle point problem. In this paper, we apply this method to solve the singular saddle point problem. In the process of the semi-convergence analysis, we get that the RHSS method and the HSS method are unconditionally semi-convergent, which has improved the previous results. Then some spectral properties of the corresponding preconditioned matrices and a class of improved preconditioned matrices are analyzed. Finally, some numerical experiments on linear systems arising from the discretization of the Stokes equation are presented to illustrate the feasibility and effectiveness of this method and the corresponding preconditioners.
Year
DOI
Venue
2018
10.1016/j.camwa.2018.04.029
Computers & Mathematics with Applications
Keywords
Field
DocType
Singular saddle point problem,Regularized HSS method,Semi-convergence,Stokes equation
Convergence (routing),Discretization,Saddle point,Linear system,Matrix (mathematics),Mathematical analysis,Invertible matrix,Hermitian matrix,Stokes flow,Mathematics
Journal
Volume
Issue
ISSN
76
2
0898-1221
Citations 
PageRank 
References 
0
0.34
17
Authors
3
Name
Order
Citations
PageRank
Zhen Chao1173.03
Guoliang Chen230546.48
Ye Guo312.72