An Improved Moving Least Squares Method for Curve and Surface Fitting

The moving least squares (MLS) method has been developed for the fitting of measured data contaminated with random error. The local approximants of MLS method only take the error of dependent variable into account, whereas the independent variable of measured data always contains random error. Consi...

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Bibliographic Details
Main Authors: Lei Zhang, Tianqi Gu, Ji Zhao, Shijun Ji, Ming Hu, Xiangbo Li
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/159694