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Random numbers for stochastic simulation

Published:01 March 1984Publication History
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Abstract

A method, that generates 36-bit machine-independent sets of pseudo-random numbers uniformly distributed in the interval (0.0 to 1.0), is proposed. The method has been tested on several computers, including the PDP 11/10 (16 bit), VAX 11/780 (32 bit), CII 10070 (32 bit), and UNIVAC 1110 (36 bit). The pseudo-random sequences. Normal, Log-normal, Binomial, Poisson, and Chi-squared, are calculated from the Uniform distribution. These pseudo-random numbers give perfect reproducibility regardless of the operating system and/or kind of computer used. This is of the first importance in simulation methods, like the Monte Carlo method. The cycle of the pseudo-random sequence has been tested up to 10**7.

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  • Published in

    cover image ACM SIGBIO Newsletter
    ACM SIGBIO Newsletter  Volume 6, Issue 4
    March 1984
    24 pages
    ISSN:0163-5697
    DOI:10.1145/992237
    Issue’s Table of Contents

    Copyright © 1984 Author

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 1 March 1984

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