• DocumentCode
    3263644
  • Title

    An Iterative Monte Carlo Scheme with Relaxation

  • Author

    Hiromoto, Robert E.

  • Author_Institution
    Idaho Univ., Moscow
  • fYear
    2007
  • fDate
    6-8 Sept. 2007
  • Firstpage
    274
  • Lastpage
    277
  • Abstract
    A Monte Carlo Scheme for the solution of Poisson´s equation is presented. The solution technique applies a unique iterative, boundary propagation scheme that uses successive-under-relaxation (SUR). The relaxation scheme adheres to the traditional SOR iteration matrix splitting; however, it is confined to SUR to achieve convergence. Analogously, it is demonstrated that the convergence of the SUR approach is accelerated by incrementally reducing the scale of the under-relaxation parameter w once per iteration sweep. It is believed that this is the first such example of a relaxation scheme applied to this particular Monte Carlo solution approach. In this presentation, the notion of an iterative scheme will be examined and its use in the design of the method given.
  • Keywords
    Monte Carlo methods; Poisson equation; iterative methods; relaxation theory; Poissons equation; iteration matrix splitting; iterative Monte Carlo scheme; successive-under-relaxation; Acceleration; Concurrent computing; Conferences; Data acquisition; Gaussian processes; Iterative methods; Jacobian matrices; Monte Carlo methods; Poisson equations; USA Councils; Monte Carlo; Poisson´s equation; boundary propagation; iterative solution; successive-under-relaxation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on
  • Conference_Location
    Dortmund
  • Print_ISBN
    978-1-4244-1347-8
  • Electronic_ISBN
    978-1-4244-1348-5
  • Type

    conf

  • DOI
    10.1109/IDAACS.2007.4488420
  • Filename
    4488420