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
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