Insight to Multi-derivative Hybrid Linear Multistep Formula for directly Solving Third-order Initial Value Problems of Ordinary Differential Equations

This article focuses on the multi-derivative hybrid linear multistep formula (MHLMF) for the numericalsolution of third-order ordinary differential equations. Power series was used as the basis function in thederivation of the formula. An approximate solution from the basis function was interpolated at some selected off-grid points. In contrast, the third derivative of the approximate solution was located at all points in the grid and outside the grid to generate a system of linear equations to determine the unknown parameters. The derived method was examined to be consistent, convergent, and zero stable. The method was implemented to solve third order ordinary differential equations, including the Genesio equation, demonstrating that the derived methods efficiently handle nonlinear problems. Absolute errors obtained in the numerical experiments established the good performance of the proposed method when compared with other cited methods in the literature.

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Publication Details

Journal
Journal of Mathematical Analysis and Modeling
Published
2025-06-16
DOI
https://doi.org/10.48185/jmam.v6i1.1223
Primary Topic
Numerical methods for differential equations
Type
article
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article

Insight to Multi-derivative Hybrid Linear Multistep Formula for directly Solving Third-order Initial Value Problems of Ordinary Differential Equations

Kolade M. Owolabi, E. A. Areo, Adelegan Lukuman Momoh, Temitope Abejide
Journal of Mathematical Analysis and Modeling
Numerical methods for differential equations
article

Insight to Multi-derivative Hybrid Linear Multistep Formula for directly Solving Third-order Initial Value Problems of Ordinary Differential Equations

Kolade M. Owolabi, E. A. Areo, Adelegan Lukuman Momoh, Temitope Abejide
article en

Abstract

This article focuses on the multi-derivative hybrid linear multistep formula (MHLMF) for the numericalsolution of third-order ordinary differential equations. Power series was used as the basis function in thederivation of the formula. An approximate solution from the basis function was interpolated at some selected off-grid points. In contrast, the third derivative of the approximate solution was located at all points in the grid and outside the grid to generate a system of linear equations to determine the unknown parameters. The derived method was examined to be consistent, convergent, and zero stable. The method was implemented to solve third order ordinary differential equations, including the Genesio equation, demonstrating that the derived methods efficiently handle nonlinear problems. Absolute errors obtained in the numerical experiments established the good performance of the proposed method when compared with other cited methods in the literature.

Journal of Mathematical Analysis and ModelingVol. 6(1)
Federal University of Technology (NG), The Federal Polytechnic, Ado-Ekiti (NG), Auchi Polytechnic (NG), Federal Polytechnic, Bauchi
Openalex Percentile: Top 79%
Numerical methods for differential equations
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