A new Technique for Using Homotopy Analysis Method for Second Order Nonlinear Differential Equations
Applied Mathematics and Computation • 2012
معلومات البحث
المؤلفون
Hany N. Hassan; Magdy A. El-Tawil
الكلمات المفتاحية
Second order nonlinear differential
equations;
Homotopy analysis method;
A new technique of homotopy analysis
method;
System of two first order differential
equations;
المجلة العلمية
Applied Mathematics and Computation
الناشر
Not Available
المجلد
219
العدد
Not Available
الصفحات
708–728
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
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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