Fractional Order Runge–Kutta Methods

Author:

Ghoreishi Farideh1ORCID,Ghaffari Rezvan1,Saad Nasser2ORCID

Affiliation:

1. Department of Mathematics, K. N. Toosi University of Technology, Tehran P.O. Box 16765-3381, Iran

2. School of Mathematical and Computational Sciences, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada

Abstract

This paper presents a new class of fractional order Runge–Kutta (FORK) methods for numerically approximating the solution of fractional differential equations (FDEs). We construct explicit and implicit FORK methods for FDEs by using the Caputo generalized Taylor series formula. Due to the dependence of fractional derivatives on a fixed base point, in the proposed method, we had to modify the right-hand side of the given equation in all steps of the FORK methods. Some coefficients for explicit and implicit FORK schemes are presented. The convergence analysis of the proposed method is also discussed. Numerical experiments are presented to clarify the effectiveness and robustness of the method.

Funder

Natural Sciences and Engineering Research Council

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

Reference37 articles.

1. Podlubny, I. (1999). Fractional Differential Equations, Academic Press.

2. Hilfer, R. (2000). Applications of Fractional Calculus in Physics, World Scientific.

3. Fractional diffusion equation for transport phenomena in random media;Giona;Physica A,1992

4. Diethelm, K. (2004). The Analysis of Fractional Differential Equations, Springer. Lecture Notes in Mathematics (LNM, Volume 2004).

5. Geometric and physical interpretation of fractional integration and fractional differentiation;Podlubny;Fract. Calc. Appl. Anal.,2002

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