Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
In this paper we consider relaxation methods for solving linear systems of equations. These methods are suited for execution on a parallel system of processors. They have the feature of allowing a minimal amount of communication of computational status between the computers, so that the relaxation process, while taking on a chaotic appearance, reduces programming and processor time of a bookkeeping nature. We give a precise characterization of chaotic relaxation, some examples of divergence, and conditions guaranteeing convergence. © 1969.
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
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Microlithography 2003
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Foundations of Computational Mathematics
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