Two efficient computational technique for fractional nonlinear Hirota–Satsuma coupled KdV equations
ISSN: 0264-4401
Article publication date: 17 July 2020
Issue publication date: 8 February 2021
Abstract
Purpose
The purpose of this paper is to apply an efficient hybrid computational numerical technique, namely, q-homotopy analysis Sumudu transform method (q-HASTM) and residual power series method (RPSM) for finding the analytical solution of the non-linear time-fractional Hirota–Satsuma coupled KdV (HS-cKdV) equations.
Design/methodology/approach
The proposed technique q-HASTM is the graceful amalgamations of q-homotopy analysis method with Sumudu transform via Caputo fractional derivative, whereas RPSM depend on generalized formula of Taylors series along with residual error function.
Findings
To illustrate and validate the efficiency of the proposed technique, the authors analyzed the projected non-linear coupled equations in terms of fractional order. Moreover, the physical behavior of the attained solution has been captured in terms of plots and by examining the L2 and L∞ error norm for diverse value of fractional order.
Originality/value
The authors implemented two technique, q-HASTM and RPSM to obtain the solution of non-linear time-fractional HS-cKdV equations. The obtained results and comparison between q-HASTM and RPSM, shows that the proposed methods provide the solution of non-linear models in form of a convergent series, without using any restrictive assumption. Also, the proposed algorithm is easy to implement and highly efficient to analyze the behavior of non-linear coupled fractional differential equation arisen in various area of science and engineering.
Keywords
Acknowledgements
The authors are thankful to the anonymous reviewers and editors for their valuable comments and suggestions to improve the quality of this paper.
Citation
Prakash, A. and Verma, V. (2021), "Two efficient computational technique for fractional nonlinear Hirota–Satsuma coupled KdV equations", Engineering Computations, Vol. 38 No. 2, pp. 791-818. https://doi.org/10.1108/EC-02-2020-0091
Publisher
:Emerald Publishing Limited
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