Guillaume Buthmann, Tomoya Sakai, et al.
ICASSP 2025
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.
Guillaume Buthmann, Tomoya Sakai, et al.
ICASSP 2025
Heng Cao, Haifeng Xi, et al.
WSC 2003
Frank R. Libsch, Takatoshi Tsujimura
Active Matrix Liquid Crystal Displays Technology and Applications 1997
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IEEE Transactions on Pattern Analysis and Machine Intelligence