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Comparison of Shepard's Like Methods with Different Basis Functions

机译:谢泼德与不同基础函数的方法的比较

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The problem of reconstruction of an unknown function from a finite number of given scattered data is well known and well studied in approximation theory. The methods developed with this goal are several and are successfully applied in different contexts. Due to the need of fast and accurate approximation methods, in this paper we numerically compare some variation of the Shepard method obtained by considering different basis functions.
机译:从有限数量的给定散射数据重建未知功能的问题是众所周知的,并且在近似理论中众所周知。使用此目标开发的方法是几个,并以不同的背景中成功应用。由于需要快速和准确的近似方法,在本文中,我们通过考虑不同的基函数来数值比较谢泼德方法的一些变化。

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