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Suspension bridge effect - A consideration about numerical precision of the natural neighbor interpolation

机译:悬索桥效应-关于自然邻域插值的数值精度的考虑

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摘要

The natural neighbor interpolation is an interpolation method based on Voronoi diagrams. Since it treats the given data naturally, it has a lot of merits that the finite element method does not have. This fact seems to suggest that the precision of the natural neighbor interpolation is better than that of the finite element method when they are used for function approximation. This paper examines whether this conjecture is true by a numerical experiment. From the experiment, it is observed that the precision of the natural neighbor interpolation is slightly worse than that of the finite element method. This paper discusses the reason why, and concludes that it is caused by an unwanted property of natural neighbor interpolants, which is called the suspension bridge effect in this paper.
机译:自然邻居插值是基于Voronoi图的插值方法。由于它自然地处理给定的数据,因此具有有限元方法所没有的许多优点。这个事实似乎表明,当将自然邻域插值用于函数逼近时,其精度要优于有限元方法。本文通过数值实验检验了这个猜想是否成立。从实验中可以看出,自然邻域插值的精度比有限元方法的精度稍差。本文讨论了产生这种现象的原因,并得出结论,它是由自然相邻内插值的有害特性引起的,在本文中称为悬浮桥效应。

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