On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method

[Image: see text] Taylor dispersion method is a common technique for the determination of diffusion coefficients in the case of multicomponent systems. One of the main problems related to the parameter estimation analysis of the collected results is the choice of the best minimization algorithm that...

Descripción completa

Detalles Bibliográficos
Autores principales: Russo, Vincenzo, Ortona, Ornella, Tesser, Riccardo, Paduano, Luigi, Di Serio, Martino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641195/
https://www.ncbi.nlm.nih.gov/pubmed/31457629
http://dx.doi.org/10.1021/acsomega.7b00384
_version_ 1783436724883423232
author Russo, Vincenzo
Ortona, Ornella
Tesser, Riccardo
Paduano, Luigi
Di Serio, Martino
author_facet Russo, Vincenzo
Ortona, Ornella
Tesser, Riccardo
Paduano, Luigi
Di Serio, Martino
author_sort Russo, Vincenzo
collection PubMed
description [Image: see text] Taylor dispersion method is a common technique for the determination of diffusion coefficients in the case of multicomponent systems. One of the main problems related to the parameter estimation analysis of the collected results is the choice of the best minimization algorithm that allows finding the real minimum of the objective function. Usually, researchers use the Levenberg–Marquardt algorithm, averaging the parameters obtained by different estimation analyses. In this paper, some nonlinear minimization algorithms included in MATLAB R2016a have been tested, and the results are compared in terms of best fit on the experimental data collected for sodium dodecyl sulfate (SDS) + sodium octanoate (SOC) + water system.
format Online
Article
Text
id pubmed-6641195
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-66411952019-08-27 On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method Russo, Vincenzo Ortona, Ornella Tesser, Riccardo Paduano, Luigi Di Serio, Martino ACS Omega [Image: see text] Taylor dispersion method is a common technique for the determination of diffusion coefficients in the case of multicomponent systems. One of the main problems related to the parameter estimation analysis of the collected results is the choice of the best minimization algorithm that allows finding the real minimum of the objective function. Usually, researchers use the Levenberg–Marquardt algorithm, averaging the parameters obtained by different estimation analyses. In this paper, some nonlinear minimization algorithms included in MATLAB R2016a have been tested, and the results are compared in terms of best fit on the experimental data collected for sodium dodecyl sulfate (SDS) + sodium octanoate (SOC) + water system. American Chemical Society 2017-06-23 /pmc/articles/PMC6641195/ /pubmed/31457629 http://dx.doi.org/10.1021/acsomega.7b00384 Text en Copyright © 2017 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Russo, Vincenzo
Ortona, Ornella
Tesser, Riccardo
Paduano, Luigi
Di Serio, Martino
On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method
title On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method
title_full On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method
title_fullStr On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method
title_full_unstemmed On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method
title_short On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method
title_sort on the importance of choosing the best minimization algorithm for the determination of ternary diffusion coefficients by the taylor dispersion method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641195/
https://www.ncbi.nlm.nih.gov/pubmed/31457629
http://dx.doi.org/10.1021/acsomega.7b00384
work_keys_str_mv AT russovincenzo ontheimportanceofchoosingthebestminimizationalgorithmforthedeterminationofternarydiffusioncoefficientsbythetaylordispersionmethod
AT ortonaornella ontheimportanceofchoosingthebestminimizationalgorithmforthedeterminationofternarydiffusioncoefficientsbythetaylordispersionmethod
AT tesserriccardo ontheimportanceofchoosingthebestminimizationalgorithmforthedeterminationofternarydiffusioncoefficientsbythetaylordispersionmethod
AT paduanoluigi ontheimportanceofchoosingthebestminimizationalgorithmforthedeterminationofternarydiffusioncoefficientsbythetaylordispersionmethod
AT diseriomartino ontheimportanceofchoosingthebestminimizationalgorithmforthedeterminationofternarydiffusioncoefficientsbythetaylordispersionmethod

Ejemplares similares