A Newton interpolation based predictor–corrector numerical method for fractional differential equations with an activator–inhibitor case study

Redouane Douaifia, Samir Bendoukha and Salem Abdelmalek

Mathematics and Computers in Simulation (MATCOM), 2021, vol. 187, issue C, 391-413

Abstract: This paper presents a new predictor–corrector numerical scheme suitable for fractional differential equations. An improved explicit Atangana–Seda formula is obtained by considering the neglected terms and used as the predictor stage of the proposed method. Numerical formulas are presented that approximate the classical first derivative as well as the Caputo, Caputo–Fabrizio and Atangana–Baleanu fractional derivatives. Simulation results are used to assess the approximation error of the new method for various differential equations. In addition, a case study is considered where the proposed scheme is used to obtain numerical solutions of the Gierer–Meinhardt activator–inhibitor model with the aim of assessing the system’s dynamics.

Keywords: Fractional calculus; Nonlinear differential equations; Newton interpolation; New predictor–corrector scheme; activator–inhibitor system (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:187:y:2021:i:c:p:391-413

DOI: 10.1016/j.matcom.2021.03.009

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