A New Comparison Theorem for the Preconditioned AOR Iterative Method
Huang Yong-hui
Abstract
Huang Yong-hui
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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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)