• 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