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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Published in | Computer physics communications Vol. 111; no. 1; pp. 87 - 92 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.06.1998
Elsevier Science |
Subjects | |
Online Access | Get full text |
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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. |
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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 |