UPM Institutional Repository

Development of high-order adaptive multi-step Runge–Kutta–Nyström method for solving special second-order ODEs


Citation

Abdulsalam, Athraa and Senu, Norazak and Majid, Zanariah Abdul and Long, Nik Mohd Asri Nik (2024) Development of high-order adaptive multi-step Runge–Kutta–Nyström method for solving special second-order ODEs. Mathematics and Computers in Simulation, 216. pp. 104-125. ISSN 0378-4754

Abstract

Runge–Kutta–Nyström (RKN) methods are extensively used to obtain approximate solutions of ordinary differential equations (ODEs). Specifically, they are widely used to directly solve second-order ODEs of the special form. Although the derivation of new higher-order methods with fewer numbers of function evaluations is of great importance in increasing the precision and effectiveness of the methods, however, this is rarely done due to the difficulty or complexity of some derivations. This study focuses on constructing a 7(5) pair of embedded multi-step Runge–Kutta–Nyström (EMSN) method with lower stages for the numerical solutions of special second-order ODEs. An adaptive step size formulation using an embedded procedure is considered, and the numerical findings reveal that the new embedded pair outperforms existing Runge–Kutta (RK) pairs in terms of the minimum number of functions evaluations. © 2023 International Association for Mathematics and Computers in Simulation (IMACS)


Download File

Full text not available from this repository.

Additional Metadata

Item Type: Article
Divisions: Institute for Mathematical Research
DOI Number: https://doi.org/10.1016/j.matcom.2023.09.006
Publisher: Elsevier
Keywords: Higher-order method; Multi-step Runge–Kutta–Nyström methods; Ordinary differential equation; Second-order initial value problems; Embedded-type procedure; Root-trees
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 21 Feb 2024 06:51
Last Modified: 25 Mar 2024 07:42
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.matcom.2023.09.006
URI: http://psasir.upm.edu.my/id/eprint/105714
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item