Issue No.03 - May/June (2005 vol.7)
Daniel M. Tartakovsky , Los Alamos National Laboratory
Francis J. Alexander , Los Alamos National Laboratory
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2005.56
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
Daniel M. Tartakovsky, Francis J. Alexander, "Noise in Algorithm Refinement Methods", Computing in Science & Engineering, vol.7, no. 3, pp. 32-38, May/June 2005, doi:10.1109/MCSE.2005.56