A Method for Improving the Embedded Runge Kutta Fehlberg 4(5)
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A Method for Improving the Embedded Runge Kutta Fehlberg 4(5)

Authors: Sunyoung Bu, Wonkyu Chung, Philsu Kim

Abstract:

In this paper, we introduce a method for improving the embedded Runge-Kutta-Fehlberg4(5) method. At each integration step, the proposed method is comprised of two equations for the solution and the error, respectively. These solution and error are obtained by solving an initial value problem whose solution has the information of the error at each integration step. The constructed algorithm controls both the error and the time step size simultaneously and possesses a good performance in the computational cost compared to the original method. For the assessment of the effectiveness, EULR problem is numerically solved.

Keywords: Embedded Runge-Kutta-Fehlberg method, Initial value problem.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1094279

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[1] J. R. DORMAND, AND P. J. PRINCE, High order embedded Runge-Kutta formulae, J. Comp. and Applied Math., 7(1) (1981) pp. 67–75.
[2] E. FEHLBERG, Classical fifth-, sixth-, seventh-, and eighth-order Runge- Kutta formulas with stepsize control, NASA; for sale by the Clearinghouse for Federal Scientific and Technical Information, Springfield, VA, 1968.
[3] K. GUSTAFSSON, Control-theoretic techniques for stepsize selection in implicit Runge-Kutta methods, ACM Trans. Math. Software, 20(4) (1994), pp. 496–517.
[4] E. HAIRER, S. P. NORSETT, AND G. WANNER, Solving ordinary differential equations. I Nonstiff, Springer Series in Computational Mathematics, Springer, 1993.
[5] E. HAIRER, AND G. WANNER, Solving ordinary differential equations. II Stiff and Differential-Algebraic Problems, Springer Series in Computational Mathematics, Springer, 1996.
[6] C. JOHNSON, Error estimates and adaptive time-step control for a class of one-step methods for stiff ordinary differential equations, SIAM J. Numer. Anal., 25(4) (1988), pp. 908–926.
[7] D. KAVETSKI, P. BINNING, AND S. W. SLOAN, Adaptive time stepping and error control in a mass conservative numerical solution of the mixed form of Richards equation, Advances in Water Resources, 24 (2001), pp. 595–605.
[8] L. F. SHAMPINE, Vectorized solution of ODEs in MATLAB, Scalable Comput.: Pract. Experience, 10. (2010), pp. 337–345.