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Theory and design of a digital stochastic computer random number generator

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  • Miller, A.J.
  • Mars, P.

Abstract

The theory and design of a random number generator suitable for use in a general purpose digital stochastic computer is considered. After a review of possible types of random number generator the paper considers the design of a system for the generation of negatively correlated pseudo-random binary sequences. Specifically it is shown that the use of correlated sequences reduces the adverse effects of pure randomness whilst retaining the property of zero correlation between sequences fundamental to the theory of stochastic computation.

Suggested Citation

  • Miller, A.J. & Mars, P., 1977. "Theory and design of a digital stochastic computer random number generator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 19(3), pages 198-216.
    • Handle: RePEc:eee:matcom:v:19:y:1977:i:3:p:198-216
    DOI: 10.1016/0378-4754(77)90059-3
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    Cited by:

    1. Deans, N.D. & Mann, D.P., 1982. "An improved generation technique for random number sequences," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 24(4), pages 314-325.
    2. Mars, P. & Mcintosh, F.G. & Baxter, T., 1979. "High-speed simulation of discrete dynamic probabilistic systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 21(1), pages 21-38.
    3. Chrystall, M.S. & Mars, P., 1982. "Simulation study of switched circuit communication networks using learning automata routing," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 24(4), pages 281-287.

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