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首页> 外文期刊>International journal of computer mathematics >Multivariate quasi-interpolation in L~p(R~d) with radial basis functions for scattered data
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Multivariate quasi-interpolation in L~p(R~d) with radial basis functions for scattered data

机译:L〜p(R〜d)中具有径向基函数的多元拟插值

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摘要

In this paper, quasi-interpolation for scattered data was studied. On the basis of generalized quasi-interpolation for scattered data proposed in [Z.M. Wu and J.P. Liu, Generalized strong-fix condition for scattered data quasi-interpolation, Adv. Comput. Math. 23 (2005), pp. 201-214.], we have developed a new method to construct the kernel in the scheme by the linear combination of the scales, instead of the gridded shifts of the radial basis function. Compared with the kernel proposed in [Z.M. Wu and J.P. Liu, Generalized strang-fix condition for scattered data quasi-interpolation, Adv. Comput. Math. 23 (2005), pp. 201-214.], the new kernel, which is still a radial function, possesses the feature of polynomial reproducing property. This opens a possibility for us to propose a different technique by obtaining a higher approximation order of the convergence.
机译:本文研究了零散数据的准插值。在[Z.M. Wu和J.P. Liu,分散数据准插值的广义强固定条件,Adv。计算数学。 23(2005),pp。201-214。],我们已经开发了一种新方法,通过缩放比例的线性组合而不是径向基函数的网格化位移来构造方案中的内核。与[Z.M. Wu and J.P. Liu,散乱数据准插值的广义Strang-fix条件,Adv。计算数学。 23(2005),pp。201-214。],新的内核仍然是径向函数,具有多项式再现特性。这为我们提供了通过获得更高的收敛逼近阶来提出不同技术的可能性。

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