DocumentCode
790084
Title
Noise in algorithm refinement methods
Author
Alexander, Francis J. ; Tartakovsky, Daniel M. ; Garcia, Alejandro L.
Author_Institution
Los Alamos Nat. Lab., NM, USA
Volume
7
Issue
3
fYear
2005
Firstpage
32
Lastpage
38
Abstract
Hybrid or algorithm refinement (AR) schemes have focused mainly on the mean behavior of system states. However, variances in these behaviors, such as spontaneous fluctuations, are important for modeling certain phenomena. This paper discusses the effects of statistical fluctuations on hybrid computational methods that combine a particle algorithm with a partial differential equation solver.
Keywords
fluctuations; noise; partial differential equations; physics computing; algorithm refinement; hybrid computational methods; hybrid refinement; noise; partial differential equation solver; particle algorithm; phenomena modeling; statistical fluctuations; system state behavior; Algorithm design and analysis; Computational modeling; Fluctuations; Metastasis; Microscopy; Noise generators; Partial differential equations; Stochastic resonance; System testing; Temperature; multiphysics; multiscale; physics;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2005.56
Filename
1425393
Link To Document