双参数奇异扰动抛物线问题的指数拟合因子高斯正交法

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES
Shegaye Lema Cheru, Gemechis File Duressa, Tariku Birabasa Mekonnen
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引用次数: 0

摘要

本文研究了抛物线对流-扩散-反应问题,其中扩散项和对流项分别乘以两个小参数。所提出的方法基于拟合算子有限差分法。第一步利用均匀网格上的 Crank-Nicolson 方法离散时间变量。利用两点高斯正交法则进一步离散空间半离散问题,并利用一阶导数的二阶插值。利用奇异扰动理论计算了拟合因子的值,该值考虑了解的突然变化。实验证明,所开发的方案具有二阶精度和均匀收敛性。两个实例验证了所提方法的适用性,其结果比文献中的其他一些方法更为精确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gaussian quadrature method with exponential fitting factor for two-parameter singularly perturbed parabolic problem.

The parabolic convection-diffusion-reaction problem is examined in this work, where the diffusion and convection terms are multiplied by two small parameters, respectively. The proposed approach is based on a fitted operator finite difference method. The Crank-Nicolson method on uniform mesh is utilized to discretize the time variables in the first step. Two-point Gaussian quadrature rule is used for further discretizing these semi-discrete problems in space, and the second order interpolation of the first derivatives is utilized. The fitting factor's value, which accounts for abrupt changes in the solution, is calculated using the theory of singular perturbations. The developed scheme is demonstrated to be second-order accurate and uniformly convergent. The proposed method's applicability is validated by two examples, which yielded more accurate results than some other methods found in the literatures.

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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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