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Neural Computing and Applications

Erschienen in:

01.08.2013 | Original Article

A method for solving nonlinear time-dependent drainage model

verfasst von: Yasir Khan

Erschienen in: Neural Computing and Applications | Ausgabe 2/2013

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Abstract

The purpose of this paper is to present a method for solving nonlinear time-dependent drainage model. This method is based on the perturbation theory and Laplace transformation. The proposed technique allows us to obtain an approximate solution in a series form. The computed results are in good agreement with the results of Adomian decomposition method. Results are presented graphically and in tabulated forms to study the efficiency and accuracy of method. The present approach provides a reliable technique, which avoids the tedious work needed by classical techniques and existing numerical methods. The nonlinear time-dependent drainage model is solved without linearizing or discretizing the nonlinear terms of the equation. The method does not require physically unrealistic assumptions, linearization or discretization in order to find the solutions of the given problems.

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Titel: A method for solving nonlinear time-dependent drainage model
verfasst von: Yasir Khan
Publikationsdatum: 01.08.2013
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 2/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-012-0933-2

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