THE CONVERGENCE COMPARISON OF THE AOR AND SOR METHODS USED IN TWO-STAGE ITERATIVE METHODS
Prc Dep
Abstract
Prc Dep
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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