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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

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Convergence properties of the symmetric and unsymmetric successive overrelaxation methods and related methods
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by David M. Young PDF
Math. Comp. 24 (1970), 793-807 Request permission

Abstract:

The paper is concerned with variants of the successive overrelaxation method (SOR method) for solving the linear system $Au = b$. Necessary and sufficient conditions are given for the convergence of the symmetric and unsymmetric SOR methods when $A$ is symmetric. The modified SOR, symmetric SOR, and unsymmetric SOR methods are also considered for systems of the form ${D_1}{u_1} - {C_U}{u_2} = {b_1}, - {C_L}{u_1} + {D_2}{u_2} = {b_2}$ where ${D_1}$ and ${D_2}$ are square diagonal matrices. Different values of the relaxation factor are used on each set of equations. It is shown that if the matrix corresponding to the Jacobi method of iteration has real eigenvalues and has spectral radius $\bar \mu < 1$, then the spectral radius of the matrix $G$ associated with any of the methods is not less than that of the ordinary SOR method with $\omega = 2{(1 + {(1 - {\bar \mu ^2})^{1/2}})^{ - 1}}$. Moreover, if the eigenvalues of $G$ are real then no improvement is possible by the use of semi-iterative methods.
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Additional Information
  • © Copyright 1970 American Mathematical Society
  • Journal: Math. Comp. 24 (1970), 793-807
  • MSC: Primary 65.35
  • DOI: https://doi.org/10.1090/S0025-5718-1970-0281331-4
  • MathSciNet review: 0281331