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THE CONVERGENCE COMPARISON OF THE AOR AND SOR METHODS USED IN TWO-STAGE ITERATIVE METHODS

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Abstract

When the coefficient matrix of a linear system is(1,1)consistently ordered matrix and the eigenvalues of its Jacobi matrix are all pure imaginaries or zeroes,the convergence and the optimum parameters of its AOR iterative method and a comparison between its optimum spectral radius and that of SOR method are shown.Since the AOR and SOR methods have their own advantages respectively under different conditions,how to choose one of them for the convergence of the two-stage iterative methods for the solution of linear system is studied.

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When the coefficient matrix of a linear system is(1,1)consistently ordered matrix and the eigenvalues of its Jacobi matrix are all pure imaginaries or zeroes,the convergence and the optimum parameters of its AOR iterative method and a comparison between its optimum spectral radius and that of SOR method are shown.Since the AOR and SOR methods have their own advantages respectively under different conditions,how to choose one of them for the convergence of the two-stage iterative methods for the solution of linear system is studied.

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Available abstract

When the coefficient matrix of a linear system is(1,1)consistently ordered matrix and the eigenvalues of its Jacobi matrix are all pure imaginaries or zeroes,the convergence and the optimum parameters of its AOR iterative method and a comparison between its optimum spectral radius and that of SOR method are shown.Since the AOR and SOR methods have their own advantages respectively under different conditions,how to choose one of them for the convergence of the two-stage iterative methods for the solution of linear system is studied.

Key concepts: Spectral radius, Mathematics, Iterative method, Convergence (economics), Applied mathematics, Coefficient matrix, Matrix (chemical analysis), Eigenvalues and eigenvectors

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