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COMPENSATED CONVEXITY METHODS FOR APPROXIMATIONS AND INTERPOLATIONS OF SAMPLED FUNCTIONS IN EUCLIDEAN SPACES: THEORETICAL FOUNDATIONS

机译:欧氏空间中函数的逼近和插值的补偿凸性方法:理论基础

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摘要

We introduce Lipschitz continuous and C-1,C-1 geometric approximation and interpolation methods for sampled bounded uniformly continuous functions over compact sets and over complements of bounded open sets in R-n by using compensated convex transforms. Error estimates are provided for the approximations of bounded uniformly continuous functions, of Lipschitz functions, and of C-1,C-1 functions. We also prove that our approximation methods, which are differentiation and integration free and not sensitive to sample type, are stable with respect to the Hausdorff distance between samples.
机译:我们介绍了Lipschitz连续和C-1,C-1几何逼近和插值方法,用于通过使用补偿凸变换在R-n中的紧集和有界开集的补集上采样有界均匀连续函数。为有界均匀连续函数,Lipschitz函数和C-1,C-1函数的逼近提供误差估计。我们还证明了我们的近似方法是无微分和积分的,并且对样本类型不敏感,并且相对于样本之间的Hausdorff距离是稳定的。

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