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History matching can be formulated as a global minimization of the difference between time-series observations and numerical results.
The procedure is based on the minimization of the difference between the profiles calculated by a finite difference scheme and the experimental profiles.
The adaptation parameter is defined by the minimization of the difference between the correlation matrices of the experimental and modeled TEC values.
Its optimization works on the minimization of the difference between upper bound performance and the desired performance on frame-to-frame basis.
Regression was performed to obtain the parameters that best fit the model to the experimental data through minimization of the difference between experimental points and model predictions.
The objective function was the minimization of the difference between simulated flooding depths and pre-specified allowable flooding depths, with simulated flooding depths constrained to less than allowable flooding depths in the control regions.
Previous studies have presented methods for the detection of translational support locations in elastic structures based on the minimization of the difference between the measured and computed natural frequencies.
The coefficient of the equalizer is computed in [7] by using mean square error (MSE), which is based on the minimization of the difference between the equalized data and the hard decision of the first decoder as follows: (9).
While typical methods for the design of conventional azeotropic columns base the location of the feed tray on the intersection of the operating profiles, the proposed method uses a minimization of the difference between tray and feed compositions as an alternative criterion.
The estimation of the parameters required the minimization of the difference between the data and model predictions.
A common objective is the minimization of the difference between measurement data and model prediction, evaluated by least squares or maximum likelihood functions (see e.g. [ 9]).
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