Error analysis for l q $l^{q}$ -coefficient regularized moving least-square regression
Author:
Funder
the Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Discrete Mathematics and Combinatorics,Analysis
Link
http://link.springer.com/content/pdf/10.1186/s13660-018-1856-y.pdf
Reference22 articles.
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3. Komargodski, Z., Levin, D.: Hermite type moving-least-squares approximations. Comput. Math. Appl. 51(8), 1223–1232 (2006)
4. Mclain, D.H.: Drawing contours from arbitrary data points. Comput. J. 17(17), 318–324 (1974)
5. Savitzky, A., Golay, M.J.E.: Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 36(8), 1627–1639 (1964)
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