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Noise in Algorithm Refinement Methods
Computing in Science and Engineering (2005)
  • Alejandro Garcia, San Jose State University
  • Francis Alexander, Los Alamos National Laboratory
  • Daniel Tartakovsky, 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.
  • noise,
  • algorithm,
  • refinement
Publication Date
Citation Information
Alejandro Garcia, Francis Alexander and Daniel Tartakovsky. "Noise in Algorithm Refinement Methods" Computing in Science and Engineering Vol. 7 (2005)
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