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The Unimodality of Initial B-Spline Approximations in Spline Fitting
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作者 Zhiguo Yong Hongmei Kang +1 位作者 Zhouwang Yang Yi Gu 《Communications in Mathematics and Statistics》 SCIE 2022年第2期331-352,共22页
Finding optimal knots is a challenging problem in spline fitting due to a lack of prior knowledge regarding optimal knots.The unimodality of initial B-spline approximations associated with given data is a promising ch... Finding optimal knots is a challenging problem in spline fitting due to a lack of prior knowledge regarding optimal knots.The unimodality of initial B-spline approximations associated with given data is a promising characteristic of locating optimal knots and has been applied successfully.The initial B-spline approximations herein are required to approximate given data well enough and characterized by the unimodality if jumps from the highest-order derivatives of the approximations at some interior knots are local maxima.In this paper,we prove the unimodality of the initial B-spline approximations that are constructed under two assumptions:Data points are sampled uniformly and sufficiently from B-spline functions,and initial knots are chosen as the parameters of sampling points.Our work establishes the theoretical basis of the unimodality of initial B-spline approximations and pioneers the theoretical study of locating optimal knots. 展开更多
关键词 Unimodality property JUMPS Spline fitting B-spline approximations Optimal knots
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