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On the Importance of Choosing the Best Minimization Algorithm for the Determination of Ternary Diffusion Coefficients by the Taylor Dispersion Method
- Source :
- ACS Omega, ACS Omega, Vol 2, Iss 6, Pp 2945-2952 (2017)
- Publication Year :
- 2017
- Publisher :
- American Chemical Society, 2017.
-
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.
- Subjects :
- Mathematical optimization
010405 organic chemistry
Estimation theory
General Chemical Engineering
Taylor dispersion
Experimental data
02 engineering and technology
General Chemistry
01 natural sciences
Article
0104 chemical sciences
lcsh:Chemistry
lcsh:QD1-999
020401 chemical engineering
Multicomponent systems
Minimization algorithm
Applied mathematics
0204 chemical engineering
Diffusion (business)
Ternary operation
MATLAB
computer
Mathematics
computer.programming_language
Subjects
Details
- Language :
- English
- ISSN :
- 24701343
- Volume :
- 2
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- ACS Omega
- Accession number :
- edsair.doi.dedup.....7e1bbace5d1cca073c7f2b205357b8e0