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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

 

Generating and testing pseudo random numbers on the IBM Type 701
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by D. L. Johnson PDF
Math. Comp. 10 (1956), 8-13 Request permission
References
    George E. Forsythe, “Generation and testing of random digits at the National Bureau of Standards, Los Angeles,” Monte Carlo Method, National Bureau of Standards, AMS 12, 1951, p. 34-35.
  • M. L. Juncosa, Random number generation on the BRL high-speed computing machines, Ballistic Research Laboratories, Aberdeen Proving Ground, Md., 1953. Rep. No. 855,. MR 0059617
  • M. G. Kendall & B. Babington Smith, “Random sampling numbers,” Tracts for Computers, 24, Cambridge Univ. Press, London, 1939. M. G. Kendall & B. Babington Smith, “Randomness and random sampling numbers,” Roy. Stat. Soc., Jn., v. 101, 1938, p. 147-166.
  • D. H. Lehmer, Mathematical methods in large-scale computing units, Proceedings of a Second Symposium on Large-Scale Digital Calculating Machinery, 1949, Harvard University Press, Cambridge, Mass., 1951, pp. 141–146. MR 0044899
  • D. H. Lehmer, Mathematical Reviews, vol. 15, 1949, p. 559.
  • Olga Taussky and John Todd, Generation and testing of pseudo-random numbers, Symposium on Monte Carlo methods, University of Florida, 1954, John Wiley and Sons, Inc., New York; Chapman and Hall, Ltd., London, 1956, pp. 15–28. MR 0080382
  • L. H. C. Tippett, Random Sampling Numbers, Cambridge Univ. Press, London, 1927. John von Neumann, “Various techniques used in connection with random digits,” Monte Carlo Method, National Bureau of Standards Applied Math. Series 12, 1951, p. 36-38.
  • D. F. Votaw Jr. and J. A. Rafferty, High speed sampling, Math. Tables Aids Comput. 5 (1951), 1–8. MR 39181, DOI 10.1090/S0025-5718-1951-0039181-8
  • The RAND Corp., One Million Random Digits and 100,000 Normal Deviates, The Free Press, Glencoe, Illinois, 1955. [See review 11 this issue, p. 39.]
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Additional Information
  • © Copyright 1956 American Mathematical Society
  • Journal: Math. Comp. 10 (1956), 8-13
  • MSC: Primary 68.0X
  • DOI: https://doi.org/10.1090/S0025-5718-1956-0076467-X
  • MathSciNet review: 0076467