A Modified SSOR Preconditioning Strategy for Helmholtz Equations

The finite difference method discretization of Helmholtz equations usually leads to the large spare linear systems. Since the coefficient matrix is frequently indefinite, it is difficult to solve iteratively. In this paper, a modified symmetric successive overrelaxation (MSSOR) preconditioning strat...

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Main Authors: Shi-Liang Wu, Cui-Xia Li
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/365124
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author Shi-Liang Wu
Cui-Xia Li
author_facet Shi-Liang Wu
Cui-Xia Li
author_sort Shi-Liang Wu
collection DOAJ
description The finite difference method discretization of Helmholtz equations usually leads to the large spare linear systems. Since the coefficient matrix is frequently indefinite, it is difficult to solve iteratively. In this paper, a modified symmetric successive overrelaxation (MSSOR) preconditioning strategy is constructed based on the coefficient matrix and employed to speed up the convergence rate of iterative methods. The idea is to increase the values of diagonal elements of the coefficient matrix to obtain better preconditioners for the original linear systems. Compared with SSOR preconditioner, MSSOR preconditioner has no additional computational cost to improve the convergence rate of iterative methods. Numerical results demonstrate that this method can reduce both the number of iterations and the computational time significantly with low cost for construction and implementation of preconditioners.
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publisher Wiley
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spelling doaj-art-d09f95424e1f42f180901065196db69a2025-08-20T03:19:36ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/365124365124A Modified SSOR Preconditioning Strategy for Helmholtz EquationsShi-Liang Wu0Cui-Xia Li1College of Mathematics, Chengdu University of Information Technology, Chengdu 610225, ChinaSchool of Mathematics and Statistics, Anyang Normal University, Anyang 455002, ChinaThe finite difference method discretization of Helmholtz equations usually leads to the large spare linear systems. Since the coefficient matrix is frequently indefinite, it is difficult to solve iteratively. In this paper, a modified symmetric successive overrelaxation (MSSOR) preconditioning strategy is constructed based on the coefficient matrix and employed to speed up the convergence rate of iterative methods. The idea is to increase the values of diagonal elements of the coefficient matrix to obtain better preconditioners for the original linear systems. Compared with SSOR preconditioner, MSSOR preconditioner has no additional computational cost to improve the convergence rate of iterative methods. Numerical results demonstrate that this method can reduce both the number of iterations and the computational time significantly with low cost for construction and implementation of preconditioners.http://dx.doi.org/10.1155/2012/365124
spellingShingle Shi-Liang Wu
Cui-Xia Li
A Modified SSOR Preconditioning Strategy for Helmholtz Equations
Journal of Applied Mathematics
title A Modified SSOR Preconditioning Strategy for Helmholtz Equations
title_full A Modified SSOR Preconditioning Strategy for Helmholtz Equations
title_fullStr A Modified SSOR Preconditioning Strategy for Helmholtz Equations
title_full_unstemmed A Modified SSOR Preconditioning Strategy for Helmholtz Equations
title_short A Modified SSOR Preconditioning Strategy for Helmholtz Equations
title_sort modified ssor preconditioning strategy for helmholtz equations
url http://dx.doi.org/10.1155/2012/365124
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