Title :
Parallel iterative algorithms for the solution of Markov systems
Author_Institution :
Lab. d´´Autom. et d´´Anal. des Syst., CNRS, Toulouse, France
Abstract :
We propose and prove convergence of parallel synchronous and asynchronous iterative algorithms for the solution of Markov systems. We present and analyze a computational experience using a distributed memory multiprocessor
Keywords :
Markov processes; convergence of numerical methods; distributed memory systems; iterative methods; mathematics computing; parallel algorithms; probability; Markov systems; asynchronous iterative algorithms; convergence; distributed memory multiprocessor; parallel iterative algorithms; probability vector; synchronous iterative algorithms; Circuits; Concurrent computing; Distributed computing; Equations; Iterative algorithms; Iterative methods; Parallel algorithms;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.411519
