2011Mianyang Shifan Xueyuan xuebaoRequires access

Convergence Analysis of Iterative Method for L-matrix under Preconditioned AOR

Yonghui Huang

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Abstract

This paper is to discuss the convergence analysis of a new preconditioned AOR iterative method for L-matrix.If the coefficient matrix is a strictly dominant L-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 reconditioned AOR iterative method is monotonically decreasing.In the end,some numerical examples to verify the correctness of our theoretical results are given.

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What this paper is about

This paper is to discuss the convergence analysis of a new preconditioned AOR iterative method for L-matrix.If the coefficient matrix is a strictly dominant L-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 reconditioned AOR iterative method is monotonically decreasing.In the end,some numerical examples to verify the correctness of our theoretical results are given.

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Available abstract

This paper is to discuss the convergence analysis of a new preconditioned AOR iterative method for L-matrix.If the coefficient matrix is a strictly dominant L-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 reconditioned AOR iterative method is monotonically decreasing.In the end,some numerical examples to verify the correctness of our theoretical results are given.

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

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