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Least Squares Cubic Splines

Victor L. Corbin

出版	Air Force Cambridge Research Laboratories, Air Force Systems Command, United States Air Force, 1973
URL	http://books.google.com.hk/books?id=Qfqy95ciHncC&hl=&source=gbs_api
EBook	FULL_PUBLIC_DOMAIN

註釋

An important feature of ordinary cubic splines results from the conditions of continuity of the function and its first two derivatives that are improved at each data point. Consequently, this method is not useful with experimental data, which is the sum of the true value of a function and some random noise. The authors have combined the least squares criteria with the spline conditions to obtain a set of equations which allow one to perform least squares curve fitting with cubic splines. (Author).