A computational method of estimating parameters in rate equations of fat hydrogenation | Zendy

Bern L. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research