A new Technique for Using Homotopy Analysis Method for Second Order Nonlinear Differential Equations
Applied Mathematics and Computation • 2012
Publication Information
Authors
Hany N. Hassan; Magdy A. El-Tawil
Keywords
Second order nonlinear differential
equations;
Homotopy analysis method;
A new technique of homotopy analysis
method;
System of two first order differential
equations;
Journal
Applied Mathematics and Computation
Publisher
Not Available
Volume
219
Issue
Not Available
Pages
708–728
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
In this paper, a new technique of homotopy analysis method (nHAM) is proposed for solving
second order nonlinear differential equations. This method improves the convergence of the
series solution, eliminates the unneeded terms and reduces time consuming in the standard
homotopy analysis method (HAM). The proposed provides an approximate solution by
rewriting the second order nonlinear differential equation in the form of two first order dif-
ferential equations. The solution of these two differential equations is obtained as a power
series solution. This scheme is tested on four non-linear exactly solvable differential equa-
tions. Three of the examples are initial value problems and the fourth is boundary value
problem. The results demonstrate reliability and efficiency of the algorithm developed.
second order nonlinear differential equations. This method improves the convergence of the
series solution, eliminates the unneeded terms and reduces time consuming in the standard
homotopy analysis method (HAM). The proposed provides an approximate solution by
rewriting the second order nonlinear differential equation in the form of two first order dif-
ferential equations. The solution of these two differential equations is obtained as a power
series solution. This scheme is tested on four non-linear exactly solvable differential equa-
tions. Three of the examples are initial value problems and the fourth is boundary value
problem. The results demonstrate reliability and efficiency of the algorithm developed.
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