The Optimal Relaxation Parameter for the SOR Method Applied to the Poisson Equation in Any Space Dimensions

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https://www.sciencedirect.com/science/article/pii/S0893965908001523

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https://doi.org/10.1016/j.aml.2008.03.028
 http://hdl.handle.net/11603/11742

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UMBC Mathematics and Statistics Department
UMBC Faculty Collection

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2009-03-24

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journal article pre-print
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Shiming Yang, Matthias K. Gobbert, The Optimal Relaxation Parameter for the SOR Method Applied to the Poisson Equation in Any Space Dimensions, Applied Mathematics Letters, Volume 22, Issue 3, March 2009, Pages 325-331 ,https://doi.org/10.1016/j.aml.2008.03.028

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Subjects

SOR method
Optimal relaxation parameter
Sparse linear systems
Poisson equation
Finite difference method
UMBC High Performance Computing Facility (HPCF)

Abstract

The finite difference discretization of the Poisson equation with Dirichlet boundary conditions leads to a large, sparse system of linear equations for the solution values at the interior mesh points. This problem is a popular and useful model problem for performance comparisons of iterative methods for the solution of linear systems. To use the successive overrelaxation (SOR) method in these comparisons, a formula for the optimal value of its relaxation parameter is needed. In standard texts, this value is only available for the case of two space dimensions, even though the model problem is also instructive in higher dimensions. This note extends the derivation of the optimal relaxation parameter to any space dimension and confirms its validity by means of test calculations in three dimensions.