2005Unpublished venueRequires access

Notes on GMRES Algorithm Organization

Richard J. Hanson, David R. Kincaid

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Abstract

The Generalized Minimum Residual (GMRES) iterative method and variations of it are frequently used for solving systems of linear equations of the form Ax = b, where A is a large sparse nonsingular nonsymmetric matrix. We discuss ways to reorganize the algorithm to improve its efficiency. Key words: Generalized Minimum Residual (GMRES) iterative method, Preconditioned GMRES(m) Algorithm, solving large sparse systems of linear equations, GMRES algorithm reorganization and Matlab code, 1

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What this paper is about

The Generalized Minimum Residual (GMRES) iterative method and variations of it are frequently used for solving systems of linear equations of the form Ax = b, where A is a large sparse nonsingular nonsymmetric matrix. We discuss ways to reorganize the algorithm to improve its efficiency. Key words: Generalized Minimum Residual (GMRES) iterative method, Preconditioned GMRES(m) Algorithm, solving large sparse systems of linear equations, GMRES algorithm reorganization and Matlab code, 1

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Available abstract

The Generalized Minimum Residual (GMRES) iterative method and variations of it are frequently used for solving systems of linear equations of the form Ax = b, where A is a large sparse nonsingular nonsymmetric matrix. We discuss ways to reorganize the algorithm to improve its efficiency. Key words: Generalized Minimum Residual (GMRES) iterative method, Preconditioned GMRES(m) Algorithm, solving large sparse systems of linear equations, GMRES algorithm reorganization and Matlab code, 1

Key concepts: Generalized minimal residual method, Invertible matrix, Linear system, Algorithm, Residual, Iterative method, Matrix (chemical analysis), Mathematics

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