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首页> 外文期刊>Journal of Computational and Applied Mathematics >Spline approximation of discontinuous multivariate functions from scattered data
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Spline approximation of discontinuous multivariate functions from scattered data

机译:离散数据中不连续多元函数的样条近似

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摘要

The approximation of discontinuous multivariate functions from a set of scattered data points is usually a two-stage process: first, a detection algorithm is applied to localize the discontinuity sets, then the functions are reconstructed using a fitting method. In this paper we propose a new method for the second stage, based on the computation of discrete smoothing D~m-splines. We establish a result of local convergence of the approximations provided by the method. Finally, we give some numerical and graphical examples.
机译:从一组分散的数据点中逼近不连续多元函数通常是一个两阶段过程:首先,应用检测算法对不连续集进行定位,然后使用拟合方法重构这些函数。在本文中,我们基于离散平滑D〜m样条的计算,提出了一种用于第二阶段的新方法。我们建立了该方法提供的近似值的局部收敛结果。最后,我们给出一些数字和图形示例。

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