Computational methods for solving nonlinear ordinary differential equations arising in engineering and applied sciences

Othman Mahdi Salih; Majeed A. AL-Jawary

doi:10.24996/ijs.2023.64.8.30

Authors

Othman Mahdi Salih Department of Mathematics, College of Education for Pure Science (Ibn AL-Haitham), University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0002-9908-8748
Majeed A. AL-Jawary Department of Mathematics, College of Education for Pure Science (Ibn AL-Haitham), University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0003-3967-0012

DOI:

https://doi.org/10.24996/ijs.2023.64.8.30

Keywords:

Novel approximate solution, Hermite polynomials, Legendre polynomials, Bernstein polynomials, Base functions

Abstract

In this paper, the computational method (CM) based on the standard polynomials has been implemented to solve some nonlinear differential equations arising in engineering and applied sciences. Moreover, novel computational methods have been developed in this study by orthogonal base functions, namely Hermite, Legendre, and Bernstein polynomials. The nonlinear problem is successfully converted into a nonlinear algebraic system of equations, which are then solved by Mathematica^®12. The developed computational methods (D-CMs) have been applied to solve three applications involving well-known nonlinear problems: the Darcy-Brinkman-Forchheimer equation, the Blasius equation, and the Falkner-Skan equation, and a comparison between the methods has been presented. In addition, the maximum error remainder () has been computed to demonstrate the accuracy of the proposed methods. The results persuasively prove that CM and D-CMs are reliable and accurate in obtaining the approximate solutions to the problems, with obvious superiority in accuracy for D-CMs than for CM.