L1PMA: A Fortran 77 package for best L 1 piecewise monotonic data smoothing
| Main Author: | CPC, Mendeley |
|---|---|
| Other Authors: | Demetriou, I.C |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2003
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/xmxbnk63sy |
| ctrlnum |
0.17632-xmxbnk63sy.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>CPC, Mendeley</creator><title>L1PMA: A Fortran 77 package for best L 1 piecewise monotonic data smoothing </title><publisher>Mendeley</publisher><description>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)</description><subject>Computational Physics</subject><subject>Computational Method</subject><contributor>Demetriou, I.C</contributor><type>Other:Dataset</type><identifier>10.17632/xmxbnk63sy.1</identifier><rights>Computer Physics Communications Journal Licence</rights><rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</rights><relation>https:/data.mendeley.com/datasets/xmxbnk63sy</relation><date>2003-04-01T11:00:00Z</date><recordID>0.17632-xmxbnk63sy.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
CPC, Mendeley |
| author2 |
Demetriou, I.C |
| title |
L1PMA: A Fortran 77 package for best L 1 piecewise monotonic data smoothing |
| publisher |
Mendeley |
| publishDate |
2003 |
| topic |
Computational Physics Computational Method |
| url |
https:/data.mendeley.com/datasets/xmxbnk63sy |
| contents |
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) |
| id |
IOS7969.0.17632-xmxbnk63sy.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:11:24Z |
| last_indexed |
2020-04-08T08:11:24Z |
| recordtype |
dc |
| _version_ |
1686587388463153152 |
| score |
17.538404 |