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Local hybrid approximation for scattered data fitting with bivariate splines

机译:使用二元样条拟合散乱数据的局部混合近似

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We suggest a local hybrid approximation scheme based on polynomials and radial basis functions, and use it to improve the scattered data fitting algorithm of (Davydov, O., Zeilfelder, F., 2004. Scattered data fitting by direct extension of local polynomials to bivariate splines. Adv. Comp. Math. 21, 223-271). Similar to that algorithm, the new method has linear computational complexity and is therefore suitable for large real world data. Numerical examples suggest that it can produce high quality artifact-free approximations that are more accurate than those given by the original method where pure polynomial local approximations are used. (C) 2006 Elsevier B.V. All rights reserved.
机译:我们提出了一种基于多项式和径向基函数的局部混合逼近方案,并将其用于改进(Davydov,O.,Zeilfelder,F.,2004)的分散数据拟合算法。通过将局部多项式直接扩展为二元变量来进行分散数据拟合花键(Adv。Comp。Math。21,223-271)。与该算法类似,新方法具有线性计算复杂度,因此适用于大型现实世界数据。数值示例表明,与使用纯多项式局部逼近的原始方法所给出的结果相比,它可以产生更高质量的无伪像逼近。 (C)2006 Elsevier B.V.保留所有权利。

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