| Digital inversive pseudorandom numbers |
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ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Volume 4 , Issue 4 (October 1994)
table of contents
Pages: 339 - 349
Year of Publication: 1994
ISSN:1049-3301
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Downloads (6 Weeks): 8, Downloads (12 Months): 26, Citation Count: 4
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ABSTRACT
A new algorithm, the digital inversive method, for generating uniform pseudorandom numbers is introduced. This algorithm starts from an inversive recursion in a large finite field and derives pseudorandom numbers from it by the digital method. If the underlying finite field has q elements, then the sequences of digital inversive pseudorandom numbers with maximum possible period length q can be characterized. Sequences of multiprecision pseudorandom numbers with very large period lengths are easily obtained by this new method. Digital inversive pseudorandom numbers satisfy statistical independence properties that are close to those of truly random numbers in the sense of asymptotic discrepancy. If q is a power of 2, then the digital inversive method can be implemented in a very fast manner.
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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CHOU, W.-S. 1995. On inversive maximal period polynomials over finite fields. Appl. Algebra Eng. Commun. Comput. Forthcoming.
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EICHENAUER-HERRMANN, J. 1995. Pseudorandom number generation by nonlinear methods. Int. Stat. Rev. Forthcoming.
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EICHENAUER-HERRMANN, J. 1992. Inversive congruential pseudorandom numbers: A tutorial. Int. Stat. Rev. 60, 167-176.
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HANSEN, T. AND MULLEN, G.L. 1992. Primitive polynomials over finite fields. Math. Comput. 59, 639-643, S47-S50.
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JUNCMCKEL, D. 1993. Finite Fields: Structure and Arithmetics. Bibliographisches Institut, Mannheim, Germany.
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I4JEFER, J. 1961. On large deviations of the empiric d.f. of vector chance variables and a law of the iterated logarithm. Pac. J. Math. 11,649-660.
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MENEZES, A.J., BLAKE, I.F., GAO, X.H., MULLIN, R.C., VANSTONE, S.A., AND YAGHOOBIAN, T. 1993. Applications of Finite Fields. Kluwer, Boston, Mass.
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NIEDERREITER, H. 1992a. Nonlinear methods for pseudorandom number and vector generation. In Simulation and Optimization, G. Pfiug and U. Dieter, Eds. Lecture Notes in Economics and Mathematical Systems, vol. 374. Springer, Berlin, 145-153.
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REVIEW
"William J. J. Rey : Reviewer"
“A new algorithm, the digital inversive method, for
generating uniform pseudorandom numbers is introduced.” The accent
is on the algorithm rather than on the number-theoretic considerations.
Nevertheless, the paper gives most of th
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