On a Weight Distribution Problem, with Application to the Design of Stochastic Generators

Author:

Gill Arthur1

Affiliation:

1. University of California, Berkeley, California

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Reference19 articles.

1. FORSYTHE G E.; GERMOND H. H.; HOUSEHOLDER A. S. (Eds.) Monte Carlo methods. National Bureau of Standards Appl. Math. Series 12 U. S. Government Printing Office (1951). FORSYTHE G E.; GERMOND H. H.; HOUSEHOLDER A. S. (Eds.) Monte Carlo methods. National Bureau of Standards Appl. Math. Series 12 U. S. Government Printing Office (1951).

2. MAYEL H. A. (Ed.) Sympo.ium on Monte Carlo Methods. John Wiley and Sons New York (1956). MAYEL H. A. (Ed.) Sympo.ium on Monte Carlo Methods. John Wiley and Sons New York (1956).

3. Markov chains as random input automata;DA;Amer. Math. Month.,1961

4. JUNCOS M. L. Random number generation on the BRL high-speed computing machines. Ballistic Res. Lab. Report No. 855 Aberdeen Proving Ground Maryland (1953). JUNCOS M. L. Random number generation on the BRL high-speed computing machines. Ballistic Res. Lab. Report No. 855 Aberdeen Proving Ground Maryland (1953).

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