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Generation of pseudorandom numbers
Author(s) -
Ehrhardt James C.
Publication year - 1986
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.595903
Subject(s) - pseudorandom number generator , random number generation , computer science , minicomputer , monte carlo method , algorithm , random seed , generator (circuit theory) , microcomputer , convolution random number generator , pseudorandom generator theorem , pseudorandom noise , sequence (biology) , random variate , pseudorandomness , theoretical computer science , random variable , mathematics , statistics , spread spectrum , channel (broadcasting) , computer network , chip , biology , genetics , operating system , telecommunications , power (physics) , quantum mechanics , physics
Computational studies requiring the generation of pseudorandom numbers are becoming increasingly common. These include Monte Carlo methodologies and studies which require the addition of “random” noise to more structured data. Although well‐established random number generators exist, many of these are not suitable for implementation on micro‐ or minicomputer systems. An algorithm for an additive generator that can be used on any computer system is described. The performance of this algorithm as implemented on a microcomputer system is discussed. Extensive testing of the statistical behavior of the resulting number sequence was performed. The algorithm appears to be an appropriate one for a variety of applications.