Generalized forms of fractional Euler and Runge–Kutta methods using non-uniform grid

Author:

Kumar Pushpendra1ORCID,Erturk Vedat Suat2,Murillo-Arcila Marina3,Harley Charis4

Affiliation:

1. Department of Mathematics and Statistics , Central University of Punjab , Bathinda , India

2. Department of Mathematics, Faculty of Arts and Sciences , Ondokuz Mayis University , Atakum-55200 , Samsun , Turkey

3. Instituto Universitario de Matematica Pura y Aplicada, Universitat Politècnica de València , 46022 Valencia , Spain

4. Data Science Across Disciplines Research Group (Institute for the Future of Knowledge) , Faculty of Engineering and the Built Environment, University of Johannesburg , PO Box 524 , Auckland Park 2006 , South Africa

Abstract

Abstract In this article, we propose generalized forms of three well-known fractional numerical methods namely Euler, Runge–Kutta 2-step, and Runge–Kutta 4-step, respectively. The new versions we provide of these methods are derived by utilizing a non-uniform grid which is slightly different from previous versions of these algorithms. A new generalized form of the well-known Caputo-type fractional derivative is used to derive the results. All necessary analyses related to the stability, convergence, and error bounds are also provided. The precision of all simulated results is justified by performing multiple numerical experiments, with some meaningful problems solved by implementing the code in Mathematica. Finally, we give a brief discussion on the simulated results which shows that the generalized methods are novel, effective, reliable, and very easy to implement.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,General Physics and Astronomy,Mechanics of Materials,Engineering (miscellaneous),Modeling and Simulation,Computational Mechanics,Statistical and Nonlinear Physics

Reference29 articles.

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2. I. Podlubny, Fractional Differential Equations: An Introduction to Fractional Derivatives, Fractional Differential Equations, to Methods of Their Solution and Some of Their Applications, San Diego, Elsevier, 1998.

3. H. Rudolf, Applications of Fractional Calculus in Physics, World Scientific, 2000.

4. S. Bhalekar and V. Daftardar-Gejji, “A predictor-corrector scheme for solving nonlinear delay differential equations of fractional order,” J. Fract. Calc. Appl., vol. 1, no. 5, pp. 1–9, 2011. https://doi.org/10.1155/2011/250763.

5. D. Baleanu, A. Jajarmi, and M. Hajipour, “On the nonlinear dynamical systems within the generalized fractional derivatives with Mittag–Leffler kernel,” Nonlinear Dynam., vol. 94, no. 1, pp. 397–414, 2018. https://doi.org/10.1007/s11071-018-4367-y.

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