A new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations

In this paper, an analytical expression for the solution of the prey-predator problem by Modified homotopy-perturbation method (MHPM) is presented. The MHPM is treated as an algorithm for approximating the solution of the problem in a sequence of time intervals, \ie the classical HPM is converted in...

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Main Author: Chowdhury, M. S. H.
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://irep.iium.edu.my/10948/
http://irep.iium.edu.my/10948/2/KERIE_09_Poster-Sazzad1.pdf
id iium-10948
recordtype eprints
spelling iium-109482012-05-28T00:17:48Z http://irep.iium.edu.my/10948/ A new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations Chowdhury, M. S. H. QA76 Computer software In this paper, an analytical expression for the solution of the prey-predator problem by Modified homotopy-perturbation method (MHPM) is presented. The MHPM is treated as an algorithm for approximating the solution of the problem in a sequence of time intervals, \ie the classical HPM is converted into a hybrid numeric-analytic method called the multistage HPM (MHPM). Numerical comparisons with the classical HPM, and the classical fourth-order Rungge-Kutta (RK4) methods are presented. Numerical comparisons between the multistage homotopy-perturbation method (MHPM) and the classical fourth-order Runge-Kutta (RK4) numerical solutions reveal that the new technique is a promising tool for the nonlinear systems of ODEs. 2009-01-21 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/10948/2/KERIE_09_Poster-Sazzad1.pdf Chowdhury, M. S. H. (2009) A new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations. In: Kulliyyah of Engineering Research and Innovation Exhibition ( KERIE 2009), 21-22 January 2009, Culture Activity Centre (CAC), IIUM . (Unpublished)
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Chowdhury, M. S. H.
A new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations
description In this paper, an analytical expression for the solution of the prey-predator problem by Modified homotopy-perturbation method (MHPM) is presented. The MHPM is treated as an algorithm for approximating the solution of the problem in a sequence of time intervals, \ie the classical HPM is converted into a hybrid numeric-analytic method called the multistage HPM (MHPM). Numerical comparisons with the classical HPM, and the classical fourth-order Rungge-Kutta (RK4) methods are presented. Numerical comparisons between the multistage homotopy-perturbation method (MHPM) and the classical fourth-order Runge-Kutta (RK4) numerical solutions reveal that the new technique is a promising tool for the nonlinear systems of ODEs.
format Conference or Workshop Item
author Chowdhury, M. S. H.
author_facet Chowdhury, M. S. H.
author_sort Chowdhury, M. S. H.
title A new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations
title_short A new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations
title_full A new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations
title_fullStr A new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations
title_full_unstemmed A new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations
title_sort new reliable numeric-analytic technique to solve nonlinear system of ordinary differential equations
publishDate 2009
url http://irep.iium.edu.my/10948/
http://irep.iium.edu.my/10948/2/KERIE_09_Poster-Sazzad1.pdf
first_indexed 2023-09-18T20:20:19Z
last_indexed 2023-09-18T20:20:19Z
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