THE MODIFIED DOUBLE SHIFT-SPLITTING PRECONDITIONER FOR NONSYMMETRIC GENERALIZED SADDLE POINT PROBLEMS FROM THE TIME-HARMONIC MAXWELL EQUATIONS

Recently, Fan, Zhu and Zheng [<i>Computational and Applied Mathematics</i>, 37(3), 3256-3266] proposed a generalized double shift-splitting (GDSS) preconditioner induced by a new matrix splitting method for nonsymmetric generalized saddle point problems, and gave the corresponding theoretical analysis and numerical experiments. In this paper, based on the generalized double shift-splitting (GDSS) preconditioner, we generalize the GDSS algorithms and further present the modified double shift-splitting (MDSS) preconditioner for nonsymmetric generalized saddle point problems having a nonsymmetric positive definite (1,1)-block and a positive definite (2,2)-block. Moreover, by similar theoretical analysis, we analyze the convergence conditions of the corresponding matrix splitting iteration methods and preconditioning properties of the MDSS preconditioned saddle point matrices. In final, one example is provided to confirm the effectiveness.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240279
Primary Topic
Matrix Theory and Algorithms
Type
article
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article

THE MODIFIED DOUBLE SHIFT-SPLITTING PRECONDITIONER FOR NONSYMMETRIC GENERALIZED SADDLE POINT PROBLEMS FROM THE TIME-HARMONIC MAXWELL EQUATIONS

Guangxu Zhu, Litao Zhang, Haochen Zhao, Boming Zhang
Journal of Applied Analysis & Computation
Matrix Theory and Algorithms
article

THE MODIFIED DOUBLE SHIFT-SPLITTING PRECONDITIONER FOR NONSYMMETRIC GENERALIZED SADDLE POINT PROBLEMS FROM THE TIME-HARMONIC MAXWELL EQUATIONS

Guangxu Zhu, Litao Zhang, Haochen Zhao, Boming Zhang
article en

Abstract

Recently, Fan, Zhu and Zheng [<i>Computational and Applied Mathematics</i>, 37(3), 3256-3266] proposed a generalized double shift-splitting (GDSS) preconditioner induced by a new matrix splitting method for nonsymmetric generalized saddle point problems, and gave the corresponding theoretical analysis and numerical experiments. In this paper, based on the generalized double shift-splitting (GDSS) preconditioner, we generalize the GDSS algorithms and further present the modified double shift-splitting (MDSS) preconditioner for nonsymmetric generalized saddle point problems having a nonsymmetric positive definite (1,1)-block and a positive definite (2,2)-block. Moreover, by similar theoretical analysis, we analyze the convergence conditions of the corresponding matrix splitting iteration methods and preconditioning properties of the MDSS preconditioned saddle point matrices. In final, one example is provided to confirm the effectiveness.

Journal of Applied Analysis & ComputationVol. 15(3)
Openalex Percentile: Top 84%
Matrix Theory and Algorithms
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