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Mathematics of Computation
Mathematics of Computation
ISSN 1088-6842(online) ISSN 0025-5718(print)

 

Maximally Equidistributed
Combined Tausworthe Generators


Author: Pierre L’Ecuyer
Journal: Math. Comp. 65 (1996), 203-213
MSC (1991): Primary 65C10
MathSciNet review: 1325871
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Abstract | References | Similar Articles | Additional Information

Abstract: Tausworthe random number generators based on a primitive trinomial allow an easy and fast implementation when their parameters obey certain restrictions. However, such generators, with those restrictions, have bad statistical properties unless we combine them. A generator is called maximally equidistributed if its vectors of successive values have the best possible equidistribution in all dimensions. This paper shows how to find maximally equidistributed combinations in an efficient manner, and gives a list of generators with that property. Such generators have a strong theoretical support and lend themselves to very fast software implementations.


References [Enhancements On Off] (What's this?)

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Additional Information

Pierre L’Ecuyer
Affiliation: Département d’Informatique et de Recherche Opérationnelle, Université de Montréal, C.P. 6128, Succ. Centre-Ville, Montréal, H3C 3J7, Canada
Email: lecuyer@iro.umontreal.ca

DOI: http://dx.doi.org/10.1090/S0025-5718-96-00696-5
PII: S 0025-5718(96)00696-5
Keywords: Random number generation, equidistribution, combined generators
Received by editor(s): October 18, 1994
Article copyright: © Copyright 1996 American Mathematical Society