Difference Operator Approximations on Nonstandard Rectangular Grid

IF 0.7 4区 数学 Q3 MATHEMATICS, APPLIED
P. N. Vabishchevich
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引用次数: 0

Abstract

Difference methods are widely used for the approximate solution of boundary value problems for partial differential equations. Grid approximations are most simply constructed when the computational domain is divided into rectangular cells. Typically, the grid nodes coincide with the vertices of the cells. In addition to such node-center approximations, grids with nodes at the centers of cells are also used. It is convenient to formulate boundary value problems in terms of invariant operators of vector (tensor) analysis, which are associated with corresponding grid analogs. In this work, analogs of the gradient and divergence operators are constructed on non-standard rectangular grids the nodes of which consist of both the vertices of the computational cells and their centers. The proposed approach is illustrated using approximations of a boundary value problem for a stationary two-dimensional convection–diffusion equation. The key features of constructing approximations for vector problems are discussed with a focus on applied problems of the mechanics of solids.

Abstract Image

非标准矩形网格上的差分算子近似值
摘要 差分法被广泛用于近似求解偏微分方程的边界值问题。当计算域被划分为矩形单元时,网格近似的构造最为简单。通常,网格节点与单元顶点重合。除这种节点中心近似外,还可使用节点位于单元中心的网格。用向量(张量)分析的不变量算子来表述边界值问题很方便,这些不变量算子与相应的网格类似物相关联。在这项工作中,梯度和发散算子的类比是在非标准矩形网格上构建的,这些网格的节点既包括计算单元的顶点,也包括计算单元的中心。本文使用静态二维对流扩散方程边界值问题的近似值来说明所提出的方法。本文以固体力学的应用问题为重点,讨论了构建矢量问题近似值的关键特征。
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
Computational Mathematics and Mathematical Physics
Computational Mathematics and Mathematical Physics MATHEMATICS, APPLIED-PHYSICS, MATHEMATICAL
CiteScore
1.50
自引率
14.30%
发文量
125
审稿时长
4-8 weeks
期刊介绍: Computational Mathematics and Mathematical Physics is a monthly journal published in collaboration with the Russian Academy of Sciences. The journal includes reviews and original papers on computational mathematics, computational methods of mathematical physics, informatics, and other mathematical sciences. The journal welcomes reviews and original articles from all countries in the English or Russian language.
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