Title :
Noise in algorithm refinement methods
Author :
Alexander, Francis J. ; Tartakovsky, Daniel M. ; Garcia, Alejandro L.
Author_Institution :
Los Alamos Nat. Lab., NM, USA
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;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2005.56
