A TRIGONOMETRICALLY ADAPTED EMBEDDED PAIR OF EXPLICIT RUNGE-KUTTA-NYSTR¨OM METHODS TO SOLVE PERIODIC SYSTEMS

Authors

  • Musa Ahmed Demba Department of Mathematics, Faculty of Computing and Mathematical Sciences, Kano University of Science and Technology, Wudil, P.M.B 3244 Kano State, Nigeria
  • Higinio Ramos Department of Applied Mathematics, Faculty of Sciences, University of Salamanca, Spain
  • Wiboonsak Watthayu Center of Excellence in Theoretical and Computational Science (TaCS-CoE), Science Laboratory Building, King Mongkuts University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand
  • Norazak Senu Department of Mathematics and Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Malaysia
  • Firas Adel Fawzi Faculty of Computer Science and Mathematics, University of Tikrit, Salah ad Din, Iraq

Keywords:

Trigonometrically-fitted method, Runge-Kutta-Nystr¨om, Periodic Problems, Initial Value Problems

Abstract

In this paper a 5(3) pair of explicit trigonometrically adapted Runge-Kutta-Nystr¨om methods with four stages is derived based on an explicit pair appeared in the literature. The new adapted method is able to integrate exactly the usual test equation: y′′ = −w2y. The local truncation error of the new method is obtained, proving that the algebraic order of convergence is maintained. The stability interval of the new method is obtained, showing that the proposed method is absolutely stable. The numerical experiments performed demonstrate the robustness of the new embedded pair in comparison with some standard codes available in the literature.

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Published

2021-12-31

How to Cite

Demba, M. A., Ramos, H., Watthayu, W., Senu, N., & Fawzi, F. A. (2021). A TRIGONOMETRICALLY ADAPTED EMBEDDED PAIR OF EXPLICIT RUNGE-KUTTA-NYSTR¨OM METHODS TO SOLVE PERIODIC SYSTEMS. Bangmod International Journal of Mathematical and Computational Science, 7, 14–34. Retrieved from https://bangmodjmcs.com/index.php/bangmodmcs/article/view/25

Issue

Section

Research Article