Jonathan Ashley, Brian Marcus, et al.
Ergodic Theory and Dynamical Systems
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.
Jonathan Ashley, Brian Marcus, et al.
Ergodic Theory and Dynamical Systems
R.B. Morris, Y. Tsuji, et al.
International Journal for Numerical Methods in Engineering
Simeon Furrer, Dirk Dahlhaus
ISIT 2005
Salvatore Certo, Anh Pham, et al.
Quantum Machine Intelligence