On the Deng-Lin random number generators and related methods

  • Authors:
  • Pierre L'Ecuyer;Renée Touzin

  • Affiliations:
  • Département d'informatique et de recherche opérationnelle, Université de Montréal, C.P. 6128, Succ. Centre-Ville, Montréal, H3C 3J7, Canada. lecuyer@iro.umontreal. ...;Département d'informatique et de recherche opérationnelle, Université de Montréal, C.P. 6128, Succ. Centre-Ville, Montréal, H3C 3J7, Canada

  • Venue:
  • Statistics and Computing
  • Year:
  • 2004

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Abstract

We study the structure and point out weaknesses of recently proposed random number generators based on special types of linear recurrences with small coefficients, which allow fast implementations. Our theoretical analysis is complemented by the results of simple empirical statistical tests that the generators fail decisively. Directions for improvement and alternative generators are also pointed out.