On the convergence of the minimum residual HSS iteration method

被引:8
作者
Yang, Ai-Li [1 ]
机构
[1] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Gansu, Peoples R China
基金
中国国家自然科学基金;
关键词
Hermitian and skew-Hermitian splitting; Minimum residual; Unconditionally convergent; Iteration method; PRECONDITIONER; PARAMETER;
D O I
10.1016/j.aml.2019.02.031
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Recently, by applying the minimum residual technique to the Hermitian and skew-Hermitian splitting (HSS) iteration scheme, a minimum residual HSS (MRHSS) iteration method was proposed for solving non-Hermitian positive definite linear systems. Although the MRHSS iteration method is very efficient, it is conditionally convergent. In this work, we further study the convergence of the MRHSS iteration method, and show that it can unconditionally convergent if its parameters are determined by minimizing a new norm of the residual. Numerical results verify that the MRHSS method discussed in this work is also very efficient. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:210 / 216
页数:7
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