COBOL simulation: random number generation for binary and decimal computers
Pages 230 - 235
Abstract
Although the Common Business Oriented Language was originally designed for use in business data processing, the language is now being employed as a simulation language under certain limiting conditions. Factors influencing the application of the language to simulation studies include its popularity, its self-documenting characteristic, its "believability," and its efficiency in programming the triangular distribution.A necessary requisite in any simulation study is the programming of random number generators to simulate the random occurrence of various events. Several methods of generating random numbers are available, but the technique most frequently used is the power residue method. Since most simulation studies are programmed with FORTRAN (a general purpose language), simulation languages (SIMSCRIPT, GPSS, GASP, etc.), or machine languages, little attention has been devoted to programming the power residue method of random number generation with COBOL.A procedure is presented which describes and discusses COBOL programming of random number generation for the binary computer and the decimal computer utilizing the power residue method. Program excerpts are provided to illustrate the procedure, and comparative differences in COBOL programming for the two computer types are noted. Conditions most favorable to COBOL programming of simulation studies are also discussed, as well as the conditions under which COBOL programming is not recommended.
References
[1]
Brewerton, F. J., Callahan, E. R., and Gober, R. W., "Conditions, Criteria, and Caveats for Computer Simulation with COBOL," 1975 Winter Computer Simulation Proceedings, December, 1975, Sacramento, California.
[2]
IBM Corporation, "Random Number Generation and Testing," Reference Manual C20-8011, White Plains, New York, 1959.
[3]
Naylor, T. H. eta l, Computor Simulation Techniaues, John Wiley and Sons, New York, 1966.
[4]
Philippakis, Andreas S. and Kazmier, Leonard J., Information Systems Through cOBOL, McGraw-Hill Book Co., New York, 197h.
[5]
Shannon, Robert E., Systems Simulation: The Art and Science, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1975.
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April 1976
406 pages
Copyright © 1976 ACM.
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- ACM: Association for Computing Machinery
- UAB: University of Alabama in Birmingham, Information Sciences Department
- BAAC: Birmingham Area ACM Chapter
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 April 1976
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