Parameter uniform finite difference formulation with oscillation free for solving singularly perturbed delay parabolic differential equation via exponential spline.

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES
Zerihun Ibrahim Hassen, Gemechis File Duressa
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引用次数: 0

Abstract

Objective: In this work, singularly perturbed time dependent delay parabolic convection-diffusion problem with Dirichlet boundary conditions is considered. The solution of this problem exhibits boundary layer at the right of special domain. In this layer the solution experiences steep gradients or oscillation so that traditional numerical methods may fail to provide smooth solutions. We developed oscillation free parameter uniform exponentially spline numerical method to solve the considered problem.

Results: In the temporal direction, the implicit Euler method is applied, and in the spatial direction, an exponential spline method with uniform mesh is applied. To handle the effect of perturbation parameter, an exponential fitting factor is introduced. For the developed numerical scheme, stability and uniform error estimates are examined. It is shown that the scheme is uniformly convergent of linear order in the maximum norm. Numerical examples are provided to illustrate the theoretical findings.

用指数样条法求解奇摄动时滞抛物型微分方程的无振荡参数一致有限差分公式。
目的:研究具有Dirichlet边界条件的奇摄动时滞抛物型对流扩散问题。该问题的解在特殊区域右侧有边界层。在这一层中,解经历陡峭的梯度或振荡,因此传统的数值方法可能无法提供光滑的解。提出了振动自由参数均匀指数样条数值方法来解决所考虑的问题。结果:在时间方向上采用隐式欧拉法,在空间方向上采用均匀网格的指数样条法。为了处理扰动参数的影响,引入了指数拟合因子。对于所开发的数值格式,检查了稳定性和均匀误差估计。证明了该格式在极大范数上是线性阶一致收敛的。数值算例说明了理论结果。
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
BMC Research Notes
BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍: BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.
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