Analysis of Two Hybrid Schemes to Solve the Benjamin-Bona-Mahony (BBM) Equation

Authors

  • Adedapo Chris Loyinmi Department of Mathematics, Tai Solarin University of Education, Ogun State, Nigeria.

DOI:

https://doi.org/10.3126/kuset.v18i1.67498

Keywords:

Benjamin-Bona-Mahony equation, Laplace Adomian Decomposition Method, Elzaki Projected Differential Transform Method

Abstract

In this research, we compare and contrast two numerical methods, the Laplace Adomian Decomposition Method (LADM) and the Elzaki Projected Differential Transform Method (EPDTM), for solving the Benjamin-Bona-Mahony (BBM) equation, and this helps in evaluating their performance, assessing robustness, gaining insights into solution behavior, validating results, generalizing their applicability, and advancing the field. This rigorous comparisons validates the efficacy of the methods as we compare the exact results and the results of LADM and EPDTM, plotting the convergent of the two methods to identify the method that is highly convergent and accurate. Results identify the Elzaki Projected Differential Transform Method (EPDTM) as having a simple and accurate numerical method for solving the BBM equation. EPDTM enhances accessibility, computational efficiency, accuracy, robustness, and validation of the solutions, supporting the understanding and analysis of wave phenomena described by the BBM equation. This study contributes to the advancement of the field of numerical analysis and computational science as practical applications of BBM equation in various fields, including coastal engineering, wave modeling, and wave stability analysis cannot be over emphasize.

Downloads

Download data is not yet available.
Abstract
131
PDF
134

Downloads

Published

2024-06-29

How to Cite

Loyinmi, A. C. (2024). Analysis of Two Hybrid Schemes to Solve the Benjamin-Bona-Mahony (BBM) Equation. Kathmandu University Journal of Science, Engineering and Technology, 18(1), 1–15. https://doi.org/10.3126/kuset.v18i1.67498

Issue

Section

Original Research Articles