Preconditioned AOR iterative methods for \(M\)-matrices
type: Item
instance of: scholarly article
title: Preconditioned AOR iterative methods for \(M\)-matrices
zbMATH Open document ID: 1175.65043
author: Li Wang
author: Yongzhong Song
published in: Journal of Computational and Applied Mathematics
publication date: 2009-03-30T00:00:00Z
review text: The authors present general preconditioners for solving linear systems with a non-singular \(M\)-matrix. Additionally, they prove that the proposed preconditioners increase the convergence rate of accelerated overrelaxation (AOR) iterative methods. Finally, the authors demonstrate the applicability by solving a convection-diffusion equation and numerical results for the restarted generalized minimal residual (GMRES) method and precondiotioned restarted GMRES method are presented, using MATLAB.
reviewed by: George A. Gravvanis
Mathematics Subject Classification ID: 65F10
Mathematics Subject Classification ID: 65F35
Mathematics Subject Classification ID: 35J25
Mathematics Subject Classification ID: 65N06
zbMATH DE Number: 5534917
zbMATH Keywords: linear system
zbMATH Keywords: M-matrix
zbMATH Keywords: preconditioner
zbMATH Keywords: convergence
zbMATH Keywords: accelerated overrelaxation (AOR) iterative methods
zbMATH Keywords: restarted generalized minimal residual (GMRES) method
zbMATH Keywords: convection-diffusion equation
zbMATH Keywords: numerical results
zbMATH Keywords: MATLAB
describes a project that uses: Matlab
MaRDI profile type: Publication
full work available at URL: j.cam.2008.05.022
OpenAlex ID: W2089644921
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DOI: 10.1016/J.CAM.2008.05.022
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description: scientific article; zbMATH DE number 5534917