Functional-Voxel Modeling of The Cauchy Problem

Q4 Computer Science
A. Tolok, N. Tolok
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引用次数: 0

Abstract

The paper considers an approach to solving the Cauchy problem for an example of a partial differential equation of the first order under given boundary conditions by the functional voxel method (FVM). The proposed approach uses the accumulated experience of differentiation and integration into FV- modeling to obtain local geometric characteristics of triangular elements on the surface of the resulting function in the process of linear approximation. The analytical solution of a simple example of a partial differential equation of the first order for the Cauchy problem is analyzed. Based on the obtained analytical solution, FV-model is constructed for further comparison with the results obtained by means of FV-modeling. The algorithm for solving the example is described by means of FV-modeling. A visual and numerical comparative analysis is carried out to determine the difference between the obtained results of FV-modeling and the accepted standard. The main difference between solving such a problem by numerical methods is the results obtained. In numerical methods, the result is the value of the function at the approximation nodes, and the FV-model at the nodes contains local geometric characteristics (gradient components in a space enlarged by one), which makes it possible to obtain a nodal local function of an implicit form, as well as a differential local function of an explicit form. The proposed graphical representation of the function area on a computer provides not only visual visibility, but also compact storage compared to a traditional array of real numbers.
考奇问题的功能体素建模
本文探讨了一种在给定边界条件下,用函数体素法(FVM)求解一阶偏微分方程考希问题的方法。所提出的方法将积累的微分和积分经验用于 FV-建模,在线性逼近过程中获得所得函数表面上三角形元素的局部几何特征。分析了 Cauchy 问题一阶偏微分方程简单实例的解析解。根据获得的分析解,构建了 FV 模型,以便与通过 FV 建模获得的结果进行进一步比较。通过 FV 模型描述了求解示例的算法。通过直观和数值比较分析,确定 FV 建模结果与公认标准之间的差异。用数值方法解决此类问题的主要区别在于获得的结果。在数值方法中,结果是近似节点处的函数值,而节点处的 FV 模型包含局部几何特征(空间中放大 1 的梯度分量),这使得获得隐式的节点局部函数和显式的微分局部函数成为可能。与传统的实数数组相比,建议在计算机上对函数区域进行图形化表示,不仅具有可视性,而且存储空间小。
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
Scientific Visualization
Scientific Visualization Computer Science-Computer Vision and Pattern Recognition
CiteScore
1.30
自引率
0.00%
发文量
20
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