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

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  • Douaifia, Redouane
  • Bendoukha, Samir
  • Abdelmalek, Salem

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.

Suggested Citation

  • Douaifia, Redouane & Bendoukha, Samir & Abdelmalek, Salem, 2021. "A Newton interpolation based predictor–corrector numerical method for fractional differential equations with an activator–inhibitor case study," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 187(C), pages 391-413.
    • Handle: RePEc:eee:matcom:v:187:y:2021:i:c:p:391-413
    DOI: 10.1016/j.matcom.2021.03.009
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    References listed on IDEAS

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    1. Zhang, Tong & Jin, JiaoJiao & Jiang, Tao, 2018. "The decoupled Crank–Nicolson/Adams–Bashforth scheme for the Boussinesq equations with nonsmooth initial data," Applied Mathematics and Computation, Elsevier, vol. 337(C), pages 234-266.
    2. Kumar, Manoj & Daftardar-Gejji, Varsha, 2019. "A new family of predictor-corrector methods for solving fractional differential equations," Applied Mathematics and Computation, Elsevier, vol. 363(C), pages 1-1.
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