| Beware of linear congruential generators with multipliers of the form a = ±2q ±2r |
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ACM Transactions on Mathematical Software (TOMS)
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Volume 25 , Issue 3 (September 1999)
table of contents
Pages: 367 - 374
Year of Publication: 1999
ISSN:0098-3500
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Downloads (6 Weeks): 4, Downloads (12 Months): 37, Citation Count: 8
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ABSTRACT
Linear congruential random-number generators with Mersenne prime
modulus and multipliers of the form a = ±2q ±r have been proposed recently. Their main advantage is the availability of a simple and fast implementation algorithm for such multipliers. This note generalizes this algorithm, points out statistical weaknesses of these multipliers when used in a straightforward manner, and suggests in what context they could be used safely.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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COMPAGNER, A. 1995. Operational conditions for random number generation. Phys. Rev. E52, 5-B, 5634-5645.
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FISHMAN, G. 1996. Monte Carlo: Concepts, Algorithms, and Applications. In Operations Research Springer Series on Operations Research, vol. 1. Springer-Verlag, New York, NY.
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L'ECUYER, P. 1996. Combined multiple recursive random number generators. Oper. Res. 44, 5, 816-822.
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L'ECUYER, P. 1998. Random number generation. In Handbook of Simulation, J. Banks, Ed. John Wiley & Sons, Inc., New York, NY, 93-137.
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WEGENKITTL, S. 1998. Generalized f-divergence and frequency analysis in Markov chains. Ph.D. Dissertation. Univ. of Salzburg. Available via http://random.mat.sbg.ac.at/team/.
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REVIEW
"John B. Slater : Reviewer"
Pseudo-random number generators based on linear congruence
relations using a congruence base of a Mersenne prime (one that is one
less than a power of two) and a multiplier obtained from the sum or
difference of two powers of two have been pro
more...
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