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

Alaa Al-Qudah, Zaid Odibat and Nabil Shawagfeh

Mathematics and Computers in Simulation (MATCOM), 2022, vol. 194, issue C, 505-522

Abstract: 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.

Keywords: Homotopy analysis method; Reaction–diffusion system; Linearization-based algorithm; Series solution (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:194:y:2022:i:c:p:505-522

DOI: 10.1016/j.matcom.2021.11.027

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