希什金网格上的萨马尔斯基类型方案的优势

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Relja Vulanović , Thái Anh Nhan
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引用次数: 0

摘要

Samarskii型方案是逆风方案的简单修改。我们将它们应用在Shishkin网格上,并讨论了它们在求解一维奇摄动对流扩散问题时相对于迎风格式的优点。优点之一是samarskii型格式在扰动参数上具有精确的一阶均匀精度,而逆风格式由于其精度被对数因子降低而几乎是一阶均匀精度。虽然这不是一个新的结果,但我们在文中再次强调了这一点。我们还证明了另一个优点,即samarskii型方案在解的层分量上几乎是二阶一致精确的。基于这一事实,我们提出了对数值方法的进一步改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advantages of the Samarskii-type schemes on the Shishkin mesh
The schemes of the Samarskii type are simple modifications of the upwind scheme. We use them on the Shishkin mesh and discuss their advantages over the upwind scheme when applied to the linear one-dimensional singularly perturbed convection–diffusion problem. One of the advantages is that the Samarskii-type schemes have exact first-order accuracy uniform in the perturbation parameter, as opposed to the upwind scheme which is almost first-order uniformly accurate because its accuracy is diminished by logarithmic factors. Although this is not a new result, we re-emphasize it in the paper. We also demonstrate another advantage, that the Samarskii-type schemes are almost second-order uniformly accurate on the layer component of the solution. Motivated by this fact, we present a further improvement of the numerical method.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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