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A mathematical model was obtained for the experimental results using MATLAB curve fitting tool.
The isotherm and kinetic parameters were determined using MATLAB® non-linear curve fitting tool.
The coefficients a and b were determined for each voltage and electrode material, respectively, using a numerical curve fitting tool.
In this work, the parameters are calculated using the comprehensive function in the nonlinear curve fitting tool available in Origin Pro 8.5 (OriginLab Corporation, Northampton, MA, USA).
3D profiles using the proximal interpolant method implemented using the Matlab curve fitting tool also revealed interesting findings regarding the fermentation process.
Thus, by using the Matlab curve fitting tool, we obtain the fitted mean path loss for the whole scenario from simulation as shown in Fig. 6.
It is clear from Figs. 20, 21, 22, 23 and 24 that the experimental and simulated results are well matched in curve fitting tool.
The markers show the simulation results, while the dotted lines show the smoother estimation obtained using the curve fitting tool in MATLAB.
Results exhibit that chi-square reduction method in Microcal origin curve fitting tool is better than Error analysis method of solver add in for determination of isotherm parameters.
The MATLAB curve fitting tool is referred for developing the equations which exhibits the relations between the parameters of proposed antenna design.
Rational Bézier curves provide a curve fitting tool and are widely used in Computer Aided Geometric Design, Computer Aided Design and Geometric Modeling.
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