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Issue No. 03 - May/June (2005 vol. 7)
ISSN: 1521-9615
pp: 32-38
Alejandro L. Garcia , San Jose State University
Daniel M. Tartakovsky , Los Alamos National Laboratory
Francis J. Alexander , Los Alamos National Laboratory
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 article discusses the effects of statistical fluctuations on hybrid computational methods that combine a particle algorithm with a partial differential equation solver.
multiphysics, multiscale, physics
Alejandro L. Garcia, Daniel M. Tartakovsky, Francis J. Alexander, "Noise in Algorithm Refinement Methods", Computing in Science & Engineering, vol. 7, no. , pp. 32-38, May/June 2005, doi:10.1109/MCSE.2005.56
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