IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4612-2856-1_46.html
   My bibliography  Save this book chapter

Multivariate Congruential Methods

In: Computing Science and Statistics

Author

Listed:
  • Lih-Yuan Deng

    (Memphis State University, Department of Mathematical Sciences)

  • Yu-Chao Chu

    (Memphis State University, Department of Mathematical Sciences)

  • Vickey Chiu-Chin Lin

    (Memphis State University, Department of Mathematical Sciences)

Abstract

The multivariate congruential method to generate a k-dimensional uniform pseudo-random vectors sequence has been considered recently by Grothe (1987), Nieder-reiter(l986) and Deng (1989,1990b). In this paper, we proposed an efficient method of finding matrix multipliers with the maximum period. Several generators with extremely long cycle are presented. Extensive empirical study shows the excellent performance of the new generators.

Suggested Citation

  • Lih-Yuan Deng & Yu-Chao Chu & Vickey Chiu-Chin Lin, 1992. "Multivariate Congruential Methods," Springer Books, in: Connie Page & Raoul LePage (ed.), Computing Science and Statistics, pages 323-327, Springer.
  • Handle: RePEc:spr:sprchp:978-1-4612-2856-1_46
    DOI: 10.1007/978-1-4612-2856-1_46
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-1-4612-2856-1_46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.