L2CXCV: A Fortran 77 package for least squares convex/concave data smoothing

Fortran 77 software is given for least squares smoothing to data values contaminated by random errors subject to one sign change in the second divided differences of the smoothed values, where the location of the sign change is also unknown of the optimization problem. A highly useful description of...

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Vydané v:	Computer physics communications Ročník 174; číslo 8; s. 643 - 668
Hlavný autor:	Demetriou, I.C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.04.2006
Predmet:	Antarctica temperatures Approximation Concave Convex Data fitting Divided difference Growth Increasing/diminishing rates of change Inflection point Least squares Noise Quadratic programming S-curve Sigmoid Smoothing Spline Utility function Increasing/diminishing rates of change Approximation Convex Inflection point Growth Noise Utility function Concave Divided difference Quadratic programming S-curve Spline Smoothing Antarctica temperatures Least squares 02.60.Pn 02.60.Ed Data fitting Sigmoid
ISSN:	0010-4655, 1879-2944, 1386-9485
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