Abstract
There has been considerable efforts to increase the efficiency of explicit Runge–Kutta (ERK) methods over the years. However, this always lead to increase in the number of terms of the Taylors’ series incremental function. In this work, a 3-stage geometric explicit Runge–Kutta method for solving autonomous initial value problems in ordinary differential equations is derived and implemented. The computational results show that the method is stable, efficient and accurate. We also compared this method with some other conventional methods.
Similar content being viewed by others
References
Dalquist G, Bjorck A (1774) Numerical methods. Prentice-Hall, Englewood Cliffs
Euler H (1768) Institutiones calculi integralis. Volumen Primum, Opera Omnia, vol XI, B. G. Teubneri Lipsiae et Berolini MCMXIII
Euler L (1913) De integratione aequationum differentialium per approximationem. In: Opera Omnia, 1st series, vol 11, Institutiones Calculi Integralis. Teubner, Leipzig, pp 424–434
Fatunla SO (1988) Numerical methods for IVPs in ODEs. Academic Press, New York
Lambert JD (1973) Computational methods in ODEs. Wiley, New York
Lambert JD (1991) Numerical methods for ordinary differential systems: the initial value problem. Wiley, Chichester
Lee JHJ (2004) Numerical methods for ordinary differential systems: a survey of some standard methods. MSc thesis, University of Auckland, Auckland
Lotkin W (1951) On the accuracy of Runge–Kutta’s methods. MTAC 5: 128–132
Runge C (1895) Uber die numerische Auflosung von differntialglechungen. Math Ann 46: 167–178
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Akanbi, M.A. On 3-stage geometric explicit Runge–Kutta method for singular autonomous initial value problems in ordinary differential equations. Computing 92, 243–263 (2011). https://doi.org/10.1007/s00607-010-0139-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00607-010-0139-3
Keywords
- Geometric explicit Runge–Kutta method
- Algorithm
- Stability
- Convergence
- Absolute stability
- Singular initial value problems