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
Link To Document :
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