A robust and reliable approach to nonlinear dynamical problems

A new approach, which utilizes Gaussian Lagrange distributed approximating functionals (LDAFs) for evaluating spatial derivatives to high accuracy is proposed for solving nonlinear dynamical problems. Three different nonlinear problems (Burgers' equation, a nonlinear Fokker-Planck equation and...

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Bibliographic Details
Published inComputer physics communications Vol. 111; no. 1; pp. 87 - 92
Main Authors Wei, G.W., Zhang, D.S., Kouri, D.J., Hoffman, D.K.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.06.1998
Elsevier Science
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Summary:A new approach, which utilizes Gaussian Lagrange distributed approximating functionals (LDAFs) for evaluating spatial derivatives to high accuracy is proposed for solving nonlinear dynamical problems. Three different nonlinear problems (Burgers' equation, a nonlinear Fokker-Planck equation and the Korteweg-de Vries equation) are used to demonstrate the usefulness and test the accuracy of the method. It is found that the present approach is robust for a variety of different nonlinear dynamical problems, and, using equivalent parameters, is the most accurate available method for the problems which we have examined.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0010-4655
1879-2944
DOI:10.1016/S0010-4655(98)00020-4