Publication:
SOR as a Preconditioner

dc.contributor.authorDeLong, M
dc.contributor.authorOrtega, J
dc.date.accessioned2026-01-22T19:23:20Z
dc.date.issued1994-01-01
dc.descriptionOriginal submission date: 2012-10-29T20:41:39Z
dc.description.abstractWe show by experimental results on some convection-diffusion type equations that the SOR iteration may be a promising preconditioner in conjunction with the GMRES method. Our results indicate that it is critical to take several Gauss-Seidel or SOR iterations, rather than just one, and that at least a factor of two improvement over Gauss-Seidel can be expected with a reasonable approximation to the optimal omega. This approximation must be on the low side of the optimum, however, as an omega only slightly too large can lead to no convergence. We also show that the red/black ordering leads to no degradation and is usually slightly beneficial. Thus, we expect good parallel results although the current experiments are only on a serial machine. Limited experiments with BiCGSTAB do not show similar improvements for Gauss-Seidel preconditioning although a suitable omega can give a factor of two speedup.
dc.identifierjw827b648
dc.identifier.citationDeLong, M, and J Ortega. "SOR as a Preconditioner." University of Virginia Dept. of Computer Science Tech Report (1994).
dc.identifier.doi10.18130/V3PT96
dc.identifier.urihttps://doi.org/10.18130/V3PT96
dc.identifier.urihttps://libraopen.library.virginia.edu/handle/item/8483
dc.languageEnglish
dc.language.isoen
dc.publisherUniversity of Virginia, Department of Computer Science
dc.rightsAll rights reserved (no additional license for public reuse)
dc.titleSOR as a Preconditioner
dc.typeTechnical Report
dspace.entity.typePublication
relation.isAuthorOfPublication57fd7f2e-5993-4170-a603-7d8fbf51cb90
relation.isAuthorOfPublication38d21b66-21d3-47f3-8a03-00f28f94defa
relation.isAuthorOfPublication.latestForDiscovery57fd7f2e-5993-4170-a603-7d8fbf51cb90

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