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By solving the regression equation and analyzing the data, the optimum conditions were obtained as follows: extracting time 1.52 h, extraction temperature 91.40 °C, and the ratio of water to raw material at 24.78.
These data were compared with data obtained by solving the Navier Stokes (NS) equations.
Reconstruction of the distribution of μ a is carried out by minimizing the residual error between the measured MTF data and the MTF data calculated by solving the forward problem.
The necessary breakage rate and breakage kernel can be determined from experimental data by solving the so-called inverse problem.
This paper concerns the ultrasonic characterization of air-saturated porous materials by solving the inverse problem using experimental data.
This paper continues the series of studies set out in (Lesur et al. 2017), where a method is proposed for the estimation of the error statistics of resulting data by solving the inverse problem in a linear form.
We used the parameters in Table 4 to simulate data by solving the differential equation system (1).
The regulatory parameters were identified via microarray data by solving the constrained least square parameter estimation problem (see Methods).
In a traditional setting, each of this model should be identified (calibrated) from experimental data by solving the corresponding minimization problem, that is, a nonlinear-programming problem subject to differential-algebraic constraints (NLP-DAEs), prior model selection.
