Modeling Geometric Varieties with Given Differential Characteristics and Its Application

E. Konopatskiy, A. Bezditnyi, O. Shevchuk
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引用次数: 7

Abstract

The article describes an approach to modeling geometric manifolds with specified differential properties, which is based on the use of geometric interpolants of a multidimensional space. A geometric interpolant is understood as a geometric object of a multidimensional space passing through predetermined points in advance, the coordinates of which correspond to the initial experimental and statistical information. Principles for determining geometric interpolants and an example of an analytical description of a 3-parameter geometric interpolant belonging to a 4-dimensional space in the form of a geometric scheme and a computational algorithm based on a sequence of point equations are given. The main direction of practical use of geometric interpolants is geometric modeling of multifactor processes and phenomena, but they can also be an effective tool for multivariate approximation. Based on this, the article presents a general approach to modeling geometric manifolds with given differential properties and its application in the form of a numerical solution of differential equations by approximating it using geometric interpolants of a multidimensional space. To implement an approach to modeling geometric manifolds with specified differential properties, it is proposed to use a computational algorithm consisting of 10 points. The advantages of using geometric interpolants for the numerical solution of differential equations are highlighted.
给定微分特征的几何变量建模及其应用
本文描述了一种基于多维空间几何插值的具有特定微分性质的几何流形建模方法。几何插值被理解为一个多维空间的几何对象,它通过预先确定的点,其坐标与初始的实验和统计信息相对应。本文给出了几何插值的确定原理,并给出了属于四维空间的三参数几何插值以几何格式的解析描述的实例和基于点方程序列的计算算法。几何插值的主要应用方向是多因素过程和现象的几何建模,但它们也可以成为多元逼近的有效工具。在此基础上,本文给出了具有给定微分性质的几何流形的一般建模方法,并将其应用于用多维空间的几何插值逼近的微分方程数值解的形式。为了实现具有特定微分性质的几何流形的建模方法,提出了一种由10个点组成的计算算法。强调了用几何插值法求解微分方程的优点。
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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