An efficient numerical method for 2D elliptic singularly perturbed systems with different magnitude parameters in the diffusion and the convection terms

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Carmelo Clavero, Ram Shiromani
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引用次数: 0

Abstract

In this work we are interested in constructing a uniformly convergent method to solve a 2D elliptic singularly perturbed weakly system of convection-diffusion type. We assume that small positive parameters appear at both the diffusion and the convection terms of the partial differential equation. Moreover, we suppose that both the diffusion and the convection parameters can be distinct and also they can have a different order of magnitude. Then, the nature of the overlapping regular or parabolic boundary layers, which, in general, appear in the exact solution, is much more complicated. To solve the continuous problem, we use the classical upwind finite difference scheme, which is defined on piecewise uniform Shishkin meshes, which are given in a different way depending on the value and the ratio between the four singular perturbation parameters which appear in the continuous problem. So, the numerical algorithm is an almost first order uniformly convergent method. The numerical results obtained with our algorithm for a test problem are presented; these results corroborate in practice the good behavior and the uniform convergence of the algorithm, aligning with the theoretical results.
具有扩散项和对流项不同量级参数的二维椭圆型奇摄动系统的一种有效数值方法
在本工作中,我们感兴趣的是构造一个一致收敛的方法来解决二维椭圆奇摄动弱对流扩散型系统。我们假设在偏微分方程的扩散项和对流项都出现小的正参数。此外,我们假设扩散参数和对流参数可以是不同的,并且它们可以有不同的数量级。然后,重叠的规则或抛物线边界层的性质,通常出现在精确解中,要复杂得多。为了解决连续问题,我们使用经典的逆风有限差分格式,该格式定义在分段均匀Shishkin网格上,并根据连续问题中出现的四个奇异摄动参数的值和比值以不同的方式给出。因此,数值算法是一种几乎一阶一致收敛的方法。最后给出了用该算法求解一个测试问题的数值结果;这些结果在实践中证实了该算法的良好性能和均匀收敛性,与理论结果一致。
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
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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