DocumentCode :
1623651
Title :
Quasi-Monte Carlo via linear shift-register sequences
Author :
L´Ecuyer, P. ; Lemieux, Christiane
Author_Institution :
Dept. d´´Inf. et de Recherche Oper., Montreal Univ., Que., Canada
Volume :
1
fYear :
1999
fDate :
6/21/1905 12:00:00 AM
Firstpage :
632
Abstract :
Linear recurrences modulo 2 with long periods have been widely used for constructing (pseudo)random number generators. We use them for quasi-Monte Carlo integration over the unit hypercube. Any stochastic simulation fits this framework. The idea is to choose a recurrence with a short period length and to estimate the integral by the average value of the integrand over all vectors of successive output values produced by the small generator. We examine randomizations of this scheme, discuss criteria for selecting the parameters, and provide examples. This approach can be viewed as a polynomial version of lattice rules
Keywords :
Monte Carlo methods; binary sequences; hypercube networks; random number generation; simulation; hypercube; lattice rules; linear recurrences; linear shift-register sequences; parameter selection; polynomial version; quasi-Monte Carlo integration; random number generators; stochastic simulation; vectors; Hypercubes; Lattices; Monte Carlo methods; Polynomials; Random number generation; Reactive power; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference Proceedings, 1999 Winter
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5780-9
Type :
conf
DOI :
10.1109/WSC.1999.823145
Filename :
823145
Link To Document :
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