Numerical Study of Some Nonlinear Boundary Value Problems (BVPs) with an Efficient Numerical Method

This study presents a comprehensive numerical investigation of fourth-order nonlinear boundary value problems (BVPs) using an efficient and accurate computational approach. The present work focuses on a class of nonlinear boundary value problems that commonly emerge in scientific and engineering applications, where the underlying models are often governed by complex nonlinear differential equations. Due to the difficulty of obtaining exact analytical solutions for such problems, numerical techniques become essential for reliable approximation. In this work, the Finite Difference Method (FDM) is adopted as the core numerical tool due to its robustness and effectiveness in solving such problems. A carefully designed finite difference scheme is developed to discretize the governing fourth-order nonlinear differential equations, converting them into a system of nonlinear algebraic equations. These systems are subsequently solved numerically using Maple software as the computational tool. The article includes two illustrative examples of nonlinear BVPs to demonstrate the applicability and performance of the proposed method. Numerical results, including graphical representations, are provided for various step sizes. Both absolute and relative errors are calculated to assess the accuracy of the solutions. The numerical findings are further validated by comparing them with known analytical or previously published approximate results. The outcomes confirm that the finite difference approach yields highly accurate and reliable solutions.

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Publication Details

Journal
American Journal of Computational Mathematics
Published
2025-01-01
DOI
https://doi.org/10.4236/ajcm.2025.153015
Primary Topic
Numerical methods for differential equations
Type
article
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article

Numerical Study of Some Nonlinear Boundary Value Problems (BVPs) with an Efficient Numerical Method

Kamal Hossain, Md. Amirul Islam, Nazmun Nahar
American Journal of Computational Mathematics
Numerical methods for differential equations
article

Numerical Study of Some Nonlinear Boundary Value Problems (BVPs) with an Efficient Numerical Method

Kamal Hossain, Md. Amirul Islam, Nazmun Nahar
article en

Abstract

This study presents a comprehensive numerical investigation of fourth-order nonlinear boundary value problems (BVPs) using an efficient and accurate computational approach. The present work focuses on a class of nonlinear boundary value problems that commonly emerge in scientific and engineering applications, where the underlying models are often governed by complex nonlinear differential equations. Due to the difficulty of obtaining exact analytical solutions for such problems, numerical techniques become essential for reliable approximation. In this work, the Finite Difference Method (FDM) is adopted as the core numerical tool due to its robustness and effectiveness in solving such problems. A carefully designed finite difference scheme is developed to discretize the governing fourth-order nonlinear differential equations, converting them into a system of nonlinear algebraic equations. These systems are subsequently solved numerically using Maple software as the computational tool. The article includes two illustrative examples of nonlinear BVPs to demonstrate the applicability and performance of the proposed method. Numerical results, including graphical representations, are provided for various step sizes. Both absolute and relative errors are calculated to assess the accuracy of the solutions. The numerical findings are further validated by comparing them with known analytical or previously published approximate results. The outcomes confirm that the finite difference approach yields highly accurate and reliable solutions.

American Journal of Computational MathematicsVol. 15(03)
Openalex Percentile: Top 69%
Numerical methods for differential equations
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Numerical Study of Some Nonlinear Boundary Value Problems (BVPs) with an Efficient Numerical Method — Kamal Hossain, Md. Amirul Islam, et al. · American Journal of Computational Mathematics (2025) | TGRS Research Map | TGRS