Please use this identifier to cite or link to this item:
http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29246
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Audu, Khadeejah James | - |
dc.contributor.author | Kharashi, Muideen Taiwo | - |
dc.contributor.author | Yahaya, Yusuph Amuda | - |
dc.contributor.author | Essien, James Nkereuwem | - |
dc.contributor.author | Oluwasegun, Abraham Ajeolu | - |
dc.date.accessioned | 2025-05-06T17:16:43Z | - |
dc.date.available | 2025-05-06T17:16:43Z | - |
dc.date.issued | 2025-04-30 | - |
dc.identifier.citation | Khadeejah James Audu, Muideen Taiwo Kharashi, Yusuph Amuda Yahaya, James Nkereuwem Essien and Abraham Ajeolu Oluwasegun (2025). Numerical Assessment of Some Almost Runge-Kutta and Runge-Kutta Methods for First-Order Differential Equation. Proceedings of 2nd International Conference on Mathematical Modelling Optimization and Analysis of Disease Dynamics (ICMMOADD). | en_US |
dc.identifier.uri | http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29246 | - |
dc.description | A Conference Proceeding | en_US |
dc.description.abstract | Numerical methods play a critical role in solving first-order Ordinary Differential Equations (ODEs), with their efficiency and accuracy being key considerations. This study conducts a detailed comparative analysis of four numerical schemes: the Almost Runge-Kutta fourth-order scheme (ARK4), the Almost Runge-Kutta third-order fourth-stage scheme (ARK34), the classical Runge- Kutta fourth-order scheme (RK4), and the Runge-Kutta fourth-order fifth-stage scheme (RK45). The methods are evaluated based on their computational accuracy, error behavior, and efficiency. Numerical experiments reveal that all methods deliver highly accurate solutions, with ARK4 emerging as the most effective due to its lower computational complexity. ARK4 demonstrates superior performance in achieving minimal absolute error with reduced computational effort, making it a suitable choice for solving first-order ODEs. This study highlights ARK4 as a viable alternative to conventional Runge-Kutta methods for practical applications. | en_US |
dc.description.sponsorship | Self-Funding | en_US |
dc.language.iso | en | en_US |
dc.publisher | Maths Model Research Group, FUT, Minna, Nigeria | en_US |
dc.subject | Numerical analysis, runge-kutta method, first-order ODEs, | en_US |
dc.subject | almost runge-kutta method, computational efficiency | en_US |
dc.title | Numerical Assessment of Some Almost Runge-Kutta and Runge-Kutta Methods for First-Order Differential Equation. | en_US |
dc.type | Article | en_US |
Appears in Collections: | Mathematics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
KCOMADD PROCEEDING 2025.pdf | A Conference Proceeding | 354.71 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.