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Matlab (The Mathworks, Natick, MA) was used to fit the recovery data using the Trust-Region fitting algorithm and the curve fitting toolbox.
Fitting of experimental data was performed with Matlab®Curve fitting toolbox, with a non-linear least square method adopting Gauss Newton algorithm.
13 and 14 to the experimental AA-currents recordings was done using the curve fitting toolbox.
The curve fitting toolbox, Matlab software (v7.5), Mathworks (Natick, MA) was used to determine EC50 values using a four-parameter logistic regression.
For each spectra, we used the Matlab Curve fitting toolbox (v. 1.1) to fit 1, 2 or 3 Gaussian components using a least-squares optimisation.
Spreading area growth curves were fitted using the Matlab (R2009a) curve fitting toolbox.
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A simulation model is designed using the Matlab software and Simulink, Neural Net Work, Fuzzy Logic and Curve Fitting Toolboxes, to control gas extraction rate through extraction tubes of the gas pumped from the STC, thus optimising the operation of the steam ejector pump system (SEPS).
A sigmoid of the form a 1 + e x p (b x + c ) was fit to the resulting data using nonlinear regression (r = 0.98; MATLAB curve-fit toolbox).
A nice accessory for your toolbox is a rubber mat that you cut to fit your toolbox bottom.
The fitting was done using curve-fitting toolbox packaged with Matlab 7.4.0.
Resultant X-Y coordinates for each trace were incorporated in the curve-fitting toolbox of Matlab 9.1 (Mathworks, Natick, Massachusetts).
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