CERTAIN RELATIONS BETWEEN THE MAIN MATRIX CONDITION NUMBER AND MULTIQUADRIC SHAPE PARAMETER IN THE NON-SYMMETRIC KANSA METHOD

O. Popczyk, G. Dziatkiewicz
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引用次数: 0

Abstract

The Kansa method is one of the most popular meshless methods today. Its ease of implementation, high order of interpolation and ease of application to problems with complex geometry constitute its advantage over many other methods for solving partial differential equation-based problems. However, the Kansa method has a significant disadvantage – the need to find the shape parameter value despite these undeniable advantages. There are dozens of algorithms for finding a good shape parameter value, but none of them is proven to be optimal. Therefore, there is still a great scientific need to research new algorithms and improve those already known. In this work, an algorithm based on the study of the oscillation of certain shape parameter functions concerning the problems of two-dimensional heat flow in a material with spatially variable thermophysical parameters was investigated. It has been shown that algorithms of this type allow this class of problems to achieve solutions with high accuracy. At the same time, it was indicated that this direction of development of algorithms for searching for a good value of the shape parameter is auspicious. It is because this algorithm can be extended to a wide range of functions whose oscillation is studied and, consequently, its application to a broader range of problems.
非对称kansa法中主矩阵条件数与多二次曲面形状参数之间存在一定的关系
Kansa方法是当今最流行的无网格方法之一。它易于实现、高阶插值和易于应用于复杂几何问题构成了它比许多其他求解偏微分方程问题的方法的优势。然而,Kansa方法有一个明显的缺点——尽管有这些不可否认的优点,但需要找到形状参数值。有几十种算法用于寻找良好的形状参数值,但没有一种被证明是最优的。因此,仍然有很大的科学需要研究新的算法和改进那些已知的。本文研究了具有空间可变热物性参数的材料中二维热流问题的一种基于某些形状参数函数振荡研究的算法。已经证明,这种类型的算法允许这类问题获得高精度的解决方案。同时指出,这种寻找形状参数的良好值的算法的发展方向是吉祥的。这是因为该算法可以推广到更广泛的振荡函数的研究范围,从而使其应用于更广泛的问题。
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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