00
Days
00
Hrs
00
Min
00
Sec
Submit Your Paper

Numerical Solution of A Class of Fourth-Order Differential Equations with Initial Conditions

Authors

Nsien, Edwin Frank

Department of Statistics, University of Uyo, Uyo, Akwa Ibom State, Nigeria (NG)

Abasiekwere, Ubon Akpan

Department of Mathematics, University of Uyo, Uyo, Akwa Ibom State, Nigeria (NG)

Article Information

DOI: 10.51583/IJLTEMAS.2025.140500012

Subject Category: Computational methods in Ordinary Differential Equations

Volume/Issue: 14/5 | Page No: 73-87

Publication Timeline

Submitted: 2025-05-31

Published: 2025-05-31

Abstract

Abstract: This paper presents the Runge-Kutta (RK4) method of order four for solving initial value problems of fourth-order ordinary differential equations. The proposed method is derived and is observed to be efficient and practically well-suited for handling high-order initial value problems. Two modal examples (linear and non-linear) are presented to demonstrate the reliability, accuracy and easy implementability of the method. The results obtained show a high level of accuracy when compared with the analytical solution.

Keywords

Runge-Kutta, ordinary differential equations, initial value problem, finite difference method, numerical approximation

Downloads

References

1. Ahmadianfar, I., Heidari, A. A., Gandomi, A. H., Chu, X., Chen, H. (2021). RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method, Expert Systems with Applications, Vol. 181 [Google Scholar] [Crossref]

2. Iyenga, S.R. & Jain, R. K, (2009). Numerical methods. New Delhi: New Age International (p) Limited Publishers. [Google Scholar] [Crossref]

3. Sakar, S. (2006). Quantum phase diagram of a super conducting quantum dots array. EPL (Europhysics letters). [Google Scholar] [Crossref]

4. Burden, R.L. & Douglass, J.F. (2011). Numerical analysis. New York: Richard Straton. [Google Scholar] [Crossref]

5. Davis, M. (2010). Finite difference methods. London: Department of Mathematics, Imperial College. [Google Scholar] [Crossref]

6. Evans, L.C. (1997). Partial differential equations. Berkeley: American Mathematical Society. [Google Scholar] [Crossref]

7. Gonze, D. (2012). Linear difference equations. Master en Bioinformatique et modelisation. [Google Scholar] [Crossref]

8. Zhang, D. K. (2019). Discovering New Runge–Kutta Methods Using Unstructured Numerical Search, Vanderbilt University, Thesis, DOI: 10.48550/arXiv.1911.00318 [Google Scholar] [Crossref]

9. Ghoreishi, F., Ghaffari, R. and Saad, N. (2023). Fractional Order Runge–Kutta Methods, Fractal and Fractional, 7(3), 245; doi.org/10.3390/fractalfract7030245 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles

© 2026 IJLTEMAS · RSIS International. All rights reserved. ISSN 2278-2540.