2011Unpublished venueRequires access

Research and application of Successive Over-Relaxation Iterative Algorithm

Ruixia Cui, Mingjun Wei

Open publisher page 5 citations

Abstract

Successive Over-Relaxation Iterative Algorithm (hereinafter referred to as SOR Iterative Algorithm) is one of the effective methods for solving large-scale sparse matrix equation set, and one first order linear stationary iterative method. Starting with introduction to SOR Iterative Algorithm solving system of linear algebraic equations, this paper discusses astringency judgement conditions for SOR Iterative Algorithm and importance of selection of convergence factor, and provides MATLAB program of SOR Iterative Algorithm, linear equations; iterative algorithm; symmetric positive definite matrices.

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What this paper is about

Successive Over-Relaxation Iterative Algorithm (hereinafter referred to as SOR Iterative Algorithm) is one of the effective methods for solving large-scale sparse matrix equation set, and one first order linear stationary iterative method. Starting with introduction to SOR Iterative Algorithm solving system of linear algebraic equations, this paper discusses astringency judgement conditions for SOR Iterative Algorithm and importance of selection of convergence factor, and provides MATLAB program of SOR Iterative Algorithm, linear equations; iterative algorithm; symmetric positive definite matrices.

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Available abstract

Successive Over-Relaxation Iterative Algorithm (hereinafter referred to as SOR Iterative Algorithm) is one of the effective methods for solving large-scale sparse matrix equation set, and one first order linear stationary iterative method. Starting with introduction to SOR Iterative Algorithm solving system of linear algebraic equations, this paper discusses astringency judgement conditions for SOR Iterative Algorithm and importance of selection of convergence factor, and provides MATLAB program of SOR Iterative Algorithm, linear equations; iterative algorithm; symmetric positive definite matrices.

Key concepts: Iterative method, Successive over-relaxation, Algorithm, Relaxation (psychology), Matrix-free methods, Convergence (economics), Linear equation, Local convergence

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