The Semi-Convergence Properties of the Generalized Shift-Splitting Methods for Singular Saddle Point Problems

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  • College of Mathematics and Physics, Center for Applied Mathematics of Guangxi, Guangxi Minzu
    University
Huang Zhuo-Hong (1977-), male, native of Shaoyang, Hunan, associate professor of Guangxi Minzu University, master supervisor, Ph.D, engages in numerical algebra.

Received date: 2022-04-25

  Online published: 2023-06-30

Supported by

Supported by Guangxi Science and Technology Department Specific Research Project of Guangxi for Research Bases and Talents (Grant No. GHIKE-AD23023001); Natural Science Foundation of Guangxi Minzu University (Grant No. 2021KJQD01); Xiangsi Lake Young Scholars Innovation Team of Guangxi University for Nationalities (Grant No. 2021RSCXSHQN05).

Abstract

Recently, some authors (Shen and Shi, 2016) studied the generalized shift- splitting (GSS) iteration method for singular saddle point problem with nonsymmetric positive definite (1,1)-block and symmetric positive semidefinite (2,2)-block. In this paper, we further apply the GSS iteration method to solve singular saddle point problem with nonsymmetric positive semidefinite (1,1)-block and symmetric positive semidefinite (2,2)-block, prove the semi-convergence of the GSS iteration method and analyze the spectral properties of the corresponding preconditioned matrix. Numerical experiment is given to indicate that the GSS iteration method with appropriate iteration parameters is effective and competitive for practical use.

Cite this article

HUANG Zhuo-Hong . The Semi-Convergence Properties of the Generalized Shift-Splitting Methods for Singular Saddle Point Problems[J]. Chinese Quarterly Journal of Mathematics, 2023 , 38(2) : 145 -156 . DOI: 10.13371/j.cnki.chin.q.j.m.2023.02.004

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