Novel minimum residual MHSS iteration method for solving complex symmetric linear systems

被引:1
|
作者
Zhang, Wei-Hong [1 ]
Yang, Ai-Li [2 ]
Wu, Yu-Jiang [3 ]
机构
[1] Lanzhou Jiaotong Univ, Dept Math, Lanzhou 730070, Peoples R China
[2] Hainan Normal Univ, Sch Math & Stat, Haikou 570000, Hainan, Peoples R China
[3] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China
基金
中国国家自然科学基金; 海南省自然科学基金;
关键词
Complex symmetric matrix; Modified Hermitian and; skew -Hermitian splitting; Minimum residual; Unconditionally convergent; Iteration method;
D O I
10.1016/j.aml.2023.108869
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
For solving complex symmetric systems of linear equations, based on the modified Hermitian and skew-Hermitian splitting (MHSS) iteration scheme, a minimum residual MHSS (MRMHSS) iteration method was proposed by applying the minimum residual technique to the MHSS iteration process. We have known that the MRMHSS iteration method is very efficient, while the convergence condition is difficult to verify in practice. In this work, we improve the MRMHSS iteration method by determining the involved iteration parameters using a new norm and prove that the so obtained novel variant can be unconditionally convergent. Numerical results are reported to demonstrate the applicability and effectiveness of the proposed method.(c) 2023 Elsevier Ltd. All rights reserved.
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收藏
页数:7
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