| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1707586 | Applied Mathematics Letters | 2016 | 8 Pages |
Abstract
In this paper, the augmented block splitting preconditioner is considered to solve singular saddle point problems. This preconditioner will result in a proper splitting for the saddle point matrix and the corresponding iteration method is proved to converge to the least squares solution of the singular saddle point problem. Besides, GMRES with this preconditioner will also converge to the least squares solution. Numerical experiments are presented to illustrate its effectiveness for solving singular saddle point problems.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Zhao-Zheng Liang, Guo-Feng Zhang,