CXFTV2: A Fortran subroutine for the discrete least squares convex approximation
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Abstract
A Fortan subroutine calculates the least squares approximation to n data values containing random errors subject to non-negative second divided differences (convexity). The method employs a dual active set quadratic programming technique that allows several concavities of an iterate to be corrected simultaneously, which is a distinctive feature of this calculation. A B-spline representation of the iterates reduces each active set calculation to an unconstrained minimization with fewer variabl...
Title of program: CXFTV2
Catalogue Id: ADFF_v1_0
Nature of problem
Convex smoothing to univariate measurements that contain random errors.
Versions of this program held in the CPC repository in Mendeley Data
ADFF_v1_0; CXFTV2; 10.1016/S0010-4655(96)00158-0
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
创建时间：
2020-01-02
