DocumentCode
2777031
Title
Some linear and nonlinear methods for pseudorandom number generation
Author
Niederreiter, Harald
Author_Institution
Inst. of Inf. Process., Austrian Acad. of Sci., Vienna, Austria
fYear
1995
fDate
3-6 Dec 1995
Firstpage
250
Lastpage
254
Abstract
Two principal classes of methods for the generation of uniform pseudorandom numbers can nowadays be distinguished, namely linear and nonlinear methods, and contributions to both types of methods are presented. A very general linear method, the multiple-recursive matrix method, was recently introduced and analyzed by the author. This method includes as special cases several classical methods, and also the twisted GFSR method. New theoretical results on the multiple-recursive matrix method are discussed. Among nonlinear methods, the digital inversive method recently introduced by Eichenauer-Herrmann and the author is highlighted. This method combines real and finite-field arithmetic and, in contrast to other inversive methods, allows a very fast implementation, while still retaining the advantages of inversive methods
Keywords
digital arithmetic; matrix algebra; random number generation; digital inversive method; finite-field arithmetic; inversive methods; linear methods; multiple-recursive matrix method; nonlinear methods; pseudorandom number generation; twisted GFSR method; Arithmetic; Artificial intelligence; Information processing; Random number generation; Random variables; Sections; Testing; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference Proceedings, 1995. Winter
Conference_Location
Arlington, VA
Print_ISBN
0-78033018-8
Type
conf
DOI
10.1109/WSC.1995.478731
Filename
478731
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