Fractional Order Runge-Kutta Methods

10/24/2022
by   F. Ghoreishi, et al.
0

This paper investigates, a new class of fractional order Runge-Kutta (FORK) methods for numerical approximation to the solution of fractional differential equations (FDEs). By using the Caputo generalized Taylor formula and the total differential for Caputo fractional derivative, we construct explicit and implicit FORK methods, as the well-known Runge-Kutta schemes for ordinary differential equations. In the proposed method, due to the dependence of fractional derivatives to a fixed base point t_0, 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 clarify the effectiveness and robustness of the method.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/19/2019

On mixed steps-collocation schemes for nonlinear fractional delay differential equations

This research deals with the numerical solution of non-linear fractional...
research
07/31/2020

Quasi-Interpolant Operators and the Solution of Fractional Differential Problems

Nowadays, fractional differential equations are a well established tool ...
research
05/12/2022

Fractional-Step Runge–Kutta Methods: Representation and Linear Stability Analysis

Fractional-step methods are a popular and powerful divide-and-conquer ap...
research
12/27/2020

Exponentially fitted two-derivative DIRK methods for oscillatory differential equations

In this work, we construct and derive a new class of exponentially fitte...
research
12/16/2022

Roundoff error problem in L2-type methods for time-fractional problems

Roundoff error problems have occurred frequently in interpolation method...

Please sign up or login with your details

Forgot password? Click here to reset