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High-speed simulation of discrete dynamic probabilistic systems

The theory and design of a special purpose stochastic computer for the high-speed simulation of Markov chains and random walks is described. Experimental results are presented for the transient and steady response to Markov systems and for fundamental studies of random walks. The paper conlcludes with a discussion of the extension of the system to the Monte-Carlo solution of partial differential equations with arbitrary boundary conditions.
Year of publication:
1979
Authors: Mars, P. ; Mcintosh, F.G. ; Baxter, T.
Published in:
Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 21.1979, 1, p. 21-38
Publisher: Elsevier
Type of publication: Article
Source:
Persistent link: https://www.econbiz.de/10010869891
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