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ZENODO
Other ORP type . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other ORP type . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other ORP type . 2020
License: CC BY
Data sources: Datacite
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Python calculation engine to solve simultaneous data reconciliation and parameter estimation problem

appsOther research productkeyboard_double_arrow_right Other ORP type 30 May 2020Publisher:Zenodo
Authors: Rosario, Tarciso;

doi: 10.5281/zenodo.3865883 , 10.5281/zenodo.3865882

Python calculation engine to solve simultaneous data reconciliation and parameter estimation problem

Abstract

Calculation engine written in python language to solve problems of simultaneous data reconciliation and parameter estimation. It was developed in a class structure whose main class is the "motor.py" file. Two solution methods are available: (i) coupled, which uses only one objective function; and (ii) decoupled, which solves separately the problems of data reconciliation and parameter estimation. The data entry takes place through excel. Also, the program exports the results in the form of graphics and reports.

Keywords

data reconciliation, parameter estimation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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