Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Russo V 

PROVIDER: S-EPMC6641195 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Russo Vincenzo V   Ortona Ornella O   Tesser Riccardo R   Paduano Luigi L   Di Serio Martino M  

ACS omega 20170623 6


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  ...[more]

Similar Datasets

| S-EPMC3765244 | biostudies-other
| S-EPMC5398553 | biostudies-literature
| S-EPMC46400 | biostudies-other
| S-EPMC4751533 | biostudies-other
| S-EPMC6142508 | biostudies-literature
| S-EPMC6293446 | biostudies-literature
| S-EPMC3496334 | biostudies-literature
| S-EPMC8270877 | biostudies-literature
| S-EPMC9148296 | biostudies-literature
| S-EPMC4623059 | biostudies-literature