• 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