A linearization-based computational algorithm of homotopy analysis method for nonlinear reaction–diffusion systems

In this study, an optimal homotopy analysis algorithm is outlined by means of the nonlinear reaction–diffusion systems. This algorithm, the linearization-based algorithm, employs Taylor series approximations of the nonlinear equations to construct an optimal decomposition of the homotopy series solu...

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Bibliographic Details
Published in:	Mathematics and computers in simulation Vol. 194; pp. 505 - 522
Main Authors:	Al-Qudah, Alaa, Odibat, Zaid, Shawagfeh, Nabil
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2022
Subjects:	Homotopy analysis method Linearization-based algorithm Reaction–diffusion system Series solution Reaction–diffusion system Linearization-based algorithm Homotopy analysis method Series solution
ISSN:	0378-4754, 1872-7166
Online Access:	Get full text
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Summary:	In this study, an optimal homotopy analysis algorithm is outlined by means of the nonlinear reaction–diffusion systems. This algorithm, the linearization-based algorithm, employs Taylor series approximations of the nonlinear equations to construct an optimal decomposition of the homotopy series solutions. Numerical comparisons between the proposed algorithm and the standard homotopy approach, as tools for analytically solving reaction–diffusion systems, are performed to test the computational efficiency and the pertinent features of the suggested algorithm. The illustrated numerical results demonstrate that the linearization-based algorithm improves the accuracy and the convergence of the homotopy series solutions. The suggested algorithm can be further used to get rapid convergent series solutions for different types of systems of partial differential equations.
ISSN:	0378-4754 1872-7166
DOI:	10.1016/j.matcom.2021.11.027