2011Journal of Shantou UniversityRequires access

A New Comparison Theorem for the Preconditioned AOR Iterative Method

Huang Yong-hui

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Abstract

In this paper,the convergence analysis for a new preconditioned AOR iterative method is discussed. If the coefficient matrix is a nonsingular M-matrix,the convergence rate of the preconditioned AOR iterative method is faster than one of the AOR methods. In addition,the spectral radius of the preconditioned AOR iterative method is monotone decreasing. At last,some numerical examples are given to explain our theoretical results.

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What this paper is about

In this paper,the convergence analysis for a new preconditioned AOR iterative method is discussed. If the coefficient matrix is a nonsingular M-matrix,the convergence rate of the preconditioned AOR iterative method is faster than one of the AOR methods. In addition,the spectral radius of the preconditioned AOR iterative method is monotone decreasing. At last,some numerical examples are given to explain our theoretical results.

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Available abstract

In this paper,the convergence analysis for a new preconditioned AOR iterative method is discussed. If the coefficient matrix is a nonsingular M-matrix,the convergence rate of the preconditioned AOR iterative method is faster than one of the AOR methods. In addition,the spectral radius of the preconditioned AOR iterative method is monotone decreasing. At last,some numerical examples are given to explain our theoretical results.

Key concepts: Spectral radius, Invertible matrix, Mathematics, Iterative method, Applied mathematics, Rate of convergence, Convergence (economics), Matrix (chemical analysis)

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