One-step block scheme with optimal hybrid points for numerical integration of second-order ordinary differential equations
Keywords:
Collocation techniques, Hybrid points, Numerical integration, Optimized schemeAbstract
In this paper, a one-step block of optimized hybrid schemes for the numerical integration of second-order initial value problems (IVP) of ordinary differential equations (ODE) is constructed via collocation techniques. The developed scheme is obtained by considering two intra-step nodal points as hybrid points, which are chosen in order to achieve optimized errors of the main formulae approximating the solution such that 0 < v1 < v 2 < 1 where v1 and v2 are defined as hybrid points. The characteristics of the developed scheme are analyzed. Application of the new scheme on some second-order IVPs shows the accuracy and effectiveness of the scheme compared with some existing methods.
Published
How to Cite
Issue
Section
Copyright (c) 2024 B. I. Akinnukawe, S. A. Okunuga

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- O. A. Uwaheren, A. F. Adebisi, O. A. Taiwo, Perturbed Collocation Method For Solving Singular Multi-order Fractional Differential Equations of Lane-Emden Type , Journal of the Nigerian Society of Physical Sciences: Volume 2, Issue 3, August 2020
- Raphael Ozighor Enihe, Rajesh Prasad, Francisca Nonyelum Ogwueleka, Fatimah Binta Abdullahi, The effect of imbalance data mitigation techniques on cardiovascular disease prediction , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 2, May 2025
- Benson Ade Eniola Afere, On the fourth-order hybrid beta polynomial kernels in kernel density estimation , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 1, February 2024
- O. J. Ibidoja, F. P. Shan, Mukhtar, J. Sulaiman, M. K. M. Ali, Robust M-estimators and Machine Learning Algorithms for Improving the Predictive Accuracy of Seaweed Contaminated Big Data , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 1, February 2023
- G. R. Venkatakrishnan, R. Rengaraj, K. K. Sathish, R. K. Dinesh, T. Nishanth, Implementation of Modified Differential Evolution Algorithm for Hybrid Renewable Energy System , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 3, August 2021
- Benson Ade Eniola Afere, On the cluster of the families of hybrid polynomial kernels in kernel density estimation , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- V Umarani, A Julian, J Deepa, Sentiment Analysis using various Machine Learning and Deep Learning Techniques , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 4, November 2021
- Olayiwola Babarinsa, Olalekan Ihinkalu, Veronica Cyril-Okeme, Hailiza Kamarulhaili, Arif Mandangan, Azfi Zaidi Mohammad Sofi, Akeem B. Disu, Application of hourglass matrix in Goldreich-Goldwasser-Halevi encryption scheme , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 4, November 2022
- Chinedu L. Udeze, Idongesit E. Eteng, Ayei E. Ibor, Application of Machine Learning and Resampling Techniques to Credit Card Fraud Detection , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 3, August 2022
- L. G. Salaudeen, D. GABI, M. Garba, H. U. Suru, Deep convolutional neural network based synthetic minority over sampling technique: a forfending model for fraudulent credit card transactions in financial institution , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 2, May 2024
You may also start an advanced similarity search for this article.

