FIG. 3.

(Color online) An example of a single automated objective optimization run of the matlab fminsearch algorithm. Parameter values normalized by their starting “initial” value are shown as a function of the number of iterations of the algorithm. Total cost is calculated using Eq. (12) and accounts for fitting the model to the magnitude and phase of Z_ME, SVTF, and Z_C. Significant changes in parameter values occurred during the first 8000 iterations, but stability was achieved by 9500 iterations.