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Noise in Algorithm Refinement Methods
May/June 2005 (vol. 7 no. 3)
pp. 32-38
Francis J. Alexander, Los Alamos National Laboratory
Daniel M. Tartakovsky, Los Alamos National Laboratory
Alejandro L. Garcia, San Jose State University
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.
Index Terms:
multiphysics, multiscale, physics
Citation:
Francis J. Alexander, Daniel M. Tartakovsky, Alejandro L. Garcia, "Noise in Algorithm Refinement Methods," Computing in Science and Engineering, vol. 7, no. 3, pp. 32-38, May-June 2005, doi:10.1109/MCSE.2005.56
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