Graded mesh modified backward finite difference method for two parameters singularly perturbed second-order boundary value problems

IF 1.4 Q2 MATHEMATICS, APPLIED
Fellek Sabir Andisso , Gemechis File Duressa
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引用次数: 0

Abstract

The existence of boundary layers in the solutions of two-parameter singularly perturbed boundary value problems makes classical numerical methods insufficient in providing accurate approximations. Consequently, the development of layer-adapted mesh methods that achieve parameter uniform convergence and are specifically designed to accurately handle these layers becomes highly significant. The aim of this paper is to construct and examine a numerical approach for obtaining approximate solutions to a specific class of two-parameter singularly perturbed second order boundary value problems whose solutions exhibit boundary layers at both ends of the domain. The problem is discretized by employing a modified backward finite difference method on a mesh that is graded. To validate the theoretical findings, well known test problems from the existing literature are utilized. Moreover, the efficiency of the proposed method is demonstrated by comparing it to other existing methods in the literature. The stability and uniform convergence with respect to the parameters of the proposed method have been verified, revealing that it attains second-order convergence in the maximum norm. The numerical outcomes illustrate that the proposed method offers remarkably accurate approximations of the solution. Theoretical findings are in agreement with the experimental results.

两参数奇异扰动二阶边界值问题的分级网格修正后向有限差分法
双参数奇异扰动边界值问题的解中存在边界层,这使得经典数值方法无法提供精确的近似值。因此,开发可实现参数均匀收敛并专门用于精确处理这些层的层适应网格方法变得非常重要。本文旨在构建和研究一种数值方法,以获得特定类别的两参数奇异扰动二阶边界值问题的近似解,该问题的解在域的两端都表现出边界层。该问题的离散化方法是在分级网格上采用改进的后向有限差分法。为了验证理论结论,利用了现有文献中已知的测试问题。此外,通过与文献中其他现有方法的比较,证明了所提方法的效率。验证了所提方法在参数方面的稳定性和均匀收敛性,发现它在最大规范上达到了二阶收敛。数值结果表明,提出的方法提供了非常精确的近似解。理论结论与实验结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Results in Applied Mathematics
Results in Applied Mathematics Mathematics-Applied Mathematics
CiteScore
3.20
自引率
10.00%
发文量
50
审稿时长
23 days
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