On the iterative algorithm for large sparse saddle point problems

被引：10
|
作者：
Ling, Xiaofeng [1 ]
Hu, Xiaozhe [1 ]
机构：
[1] Zhejiang Univ, Dept Math, Hangzhou 310027, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2006年 / 178卷 / 02期
基金：
中国国家自然科学基金;
关键词：
saddle point problem; iterative algorithm; spectral radius; convergence condition; parameter;
D O I：
10.1016/j.amc.2005.11.052
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we discuss some iterated method for solving the saddle point problem. We propose some new schemes and prove its convergence. The method has weaker convergence condition than the classic Uzawa method. The analysis is supported by numerical experiments. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码：372 / 379
页数：8
相关论文
共 50 条
12345