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Pseudospectral analysis for the solution of nonlinear partial differential equations

โœ Scribed by Alaeddin Malek


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
238 KB
Volume
30
Category
Article
ISSN
0362-546X

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โœ Guillermo Marshall ๐Ÿ“‚ Article ๐Ÿ“… 1989 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 752 KB

Stochastic models for the solution of nonlinear partial differential equations are discussed. They consist of a discretized version of these equations and Monte Carlo techniques. The Markov transitions are based on a priori estimates of the solution. To improve the efficiency of stochastic smoothers