Minimum residual shift-splitting iteration method for non-Hermitian positive definite and positive semidefinite linear systems

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
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引用次数: 0

Abstract

By applying the minimum residual technique to the shift-splitting (SS) iteration scheme, we introduce a non-stationary iteration method named minimum residual SS (MRSS) iteration method to solve non-Hermitian positive definite and positive semidefinite systems of linear equations. Theoretical analyses show that the MRSS iteration method is unconditionally convergent for both of the two kinds of systems of linear equations. Numerical examples are employed to verify the feasibility and effectiveness of the MRSS iteration method.

非赫米特正定和正半有限线性系统的最小残差移位分割迭代法
通过将最小残差技术应用于移位分割(SS)迭代方案,我们引入了一种非稳态迭代方法,命名为最小残差 SS(MRSS)迭代法,用于求解非ermitian 正定和正半定式线性方程组。理论分析表明,MRSS 迭代法对这两种线性方程组都是无条件收敛的。通过数值实例验证了 MRSS 迭代法的可行性和有效性。
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来源期刊
Applied Mathematics Letters
Applied Mathematics Letters 数学-应用数学
CiteScore
7.70
自引率
5.40%
发文量
347
审稿时长
10 days
期刊介绍: The purpose of Applied Mathematics Letters is to provide a means of rapid publication for important but brief applied mathematical papers. The brief descriptions of any work involving a novel application or utilization of mathematics, or a development in the methodology of applied mathematics is a potential contribution for this journal. This journal''s focus is on applied mathematics topics based on differential equations and linear algebra. Priority will be given to submissions that are likely to appeal to a wide audience.
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