arrow
Return

Two block triangular preconditioners for asymmetric saddle point problems

delete2015-10-01
delete2
PRE
AI
C
Cui-Xia Li
S
Shi-Liang Wu *
DOI:10.1016/j.amc.2015.07.093delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
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. (C) 2015 Elsevier Inc. All rights reserved.
Keywords:
Block triangular preconditioner
Saddle point problems
Nullity
Augmentation
Krylov subspace method
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Applied Mathematics and Computation cover
Applied Mathematics and Computation
IF:
3.4
Papers:
2.3W
Citations:
3.3W

Organization

A
Anyang Normal University
Scholars:
1.7K
Papers: 1.0K
Citations: 1.3K