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Numerical solution of Lane-Emden type equations using Adomian decomposition method with unequal step-size partitions

Umesh (Department of Mathematics, Motilal Nehru National Institute of Technology, Allahabad, India)
Manoj Kumar (Department of Mathematics, Motilal Nehru National Institute of Technology, Allahabad, India)

Engineering Computations

ISSN: 0264-4401

Article publication date: 9 June 2020

Issue publication date: 27 January 2021

153

Abstract

Purpose

The purpose of this paper is to obtain the highly accurate numerical solution of Lane–Emden-type equations using modified Adomian decomposition method (MADM) for unequal step-size partitions.

Design/methodology/approach

First, the authors describe the standard Adomian decomposition scheme and the Adomian polynomials for solving nonlinear differential equations. After that, for the fast calculation of the Adomian polynomials, an algorithm is presented based on Duan’s corollary and Rach’s rule. Then, MADM is discussed for the unequal step-size partitions of the domain, to obtain the numerical solution of Lane–Emden-type equations. Moreover, convergence analysis and an error bound for the approximate solution are discussed.

Findings

The proposed method removes the singular behaviour of the problems and provides the high precision numerical solution in the large effective region of convergence in comparison to the other existing methods, as shown in the tested examples.

Originality/value

Unlike the other methods, the proposed method does not require linearization or perturbation to obtain an analytical and numerical solution of singular differential equations, and the obtained results are more physically realistic.

Keywords

Acknowledgements

The authors express their sincere thanks to editor in chief, editor and reviewers for their valuable suggestions to revise this manuscript.

Citation

, U. and Kumar, M. (2021), "Numerical solution of Lane-Emden type equations using Adomian decomposition method with unequal step-size partitions", Engineering Computations, Vol. 38 No. 1, pp. 1-18. https://doi.org/10.1108/EC-02-2020-0073

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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