L1PMA: A Fortran 77 package for best L 1 piecewise monotonic data smoothing
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Abstract
Fortran 77 software is presented for the calculation of a best L_1approximation to n measurements that include random errors by requiring k-1 sign changes in the first divided differences of the approximation or equivalently k monotonic sections, alternately increasing and decreasing. A dynamic programming algorithm separates the measurements into optimal disjoint sections of adjacent data and applies to each section a single L_1monotonic calculation. The most distinctive feature of the a...
Title of program: L1PMA
Catalogue Id: ADRF_v1_0
Nature of problem
<UL> <LI> Univariate measurements of an unknown function that contains random errors. <LI> Identifying turning points (peakfinding) of a univariate function from noisy measurements of its values. </UL>
Versions of this program held in the CPC repository in Mendeley Data
ADRF_v1_0; L1PMA; 10.1016/S0010-4655(02)00739-7
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
创建时间：
2020-01-03
