Name
Abstract | ||
|---|---|---|
In this paper, two block triangular preconditioners for the asymmetric saddle point problems with singular (1,1) block are presented. The spectral characteristics of the preconditioned matrices are discussed in detail. Theoretical analysis shows that all the eigenvalues of the preconditioned matrices are strongly clustered. Numerical experiments are reported to the efficiency of the proposed preconditioners. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.amc.2015.07.093 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Block triangular preconditioner,Saddle point problems,Nullity,Augmentation,Krylov subspace method | Mathematical optimization,Saddle point,Matrix (mathematics),Mathematics,Eigenvalues and eigenvectors | Journal |
Volume | Issue | ISSN |
269 | C | 0096-3003 |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cui-xia Li | 1 | 91 | 13.47 |
| Shi-liang Wu | 2 | 90 | 15.82 |