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A computational method of estimating parameters in rate equations of fat hydrogenation
Author(s) -
Bern L.
Publication year - 1977
Publication title -
journal of the american oil chemists' society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 117
eISSN - 1558-9331
pISSN - 0003-021X
DOI - 10.1007/bf02655164
Subject(s) - nonlinear regression , mathematics , function (biology) , nonlinear system , kinetic energy , least squares function approximation , regression analysis , regression , experimental data , non linear least squares , algorithm , statistics , explained sum of squares , physics , quantum mechanics , evolutionary biology , estimator , biology
and Summary A computational method for fitting a simplified mathematical model of fat hydrogenation reactions to experimental kinetic data is given. The parameters of the mathematical model were estimated by a nonlinear least‐squares regression technique, and the minimum search method included was tested on a special function with a narrowed curved valley.