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球面光滑核漂移的L^p逼近

L^p Approximation by Shifts of Smooth Kernels on Spheres
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摘要 将光滑的球面基函数φ嵌入到由一个不充分光滑的球面基函数Ψ生成的本性空间N_Ψ中,并在L^p度量下研究由φ的变换生成的函数在空间N_Ψ中的逼近性质,得到了该L^p逼近的误差估计. The authors embed the smooth radial basis functions in a larger native space generated by a less smooth kernel,and use them,in L^p metric,to approximate functions from the larger native space on the unit sphere.As a result,the L^p error bound between the best approximant and the target function is established.
出处 《数学年刊(A辑)》 CSCD 北大核心 2010年第5期615-624,共10页 Chinese Annals of Mathematics
基金 国家自然科学基金(No.60873206) 浙江省自然科学基金(No.Y7080235)资助的项目
关键词 径向基函数 散乱数据 误差估计 L^P逼近 球面 Radial basis function Scattered data Error estimate L^p approximation Sphere
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参考文献18

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