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Third, the adjustment coefficient in the new model is optimized to obtain optimal values for the time response function.
However, in the optimizations performed here, the optimal values for the parameters were always found within the a priori estimated intervals.
Therefore, we solve an optimization problem numerically in order to determine the optimal values for multiple transmitters.
With the optimization of the previous target functions we determined the optimal values for σ (in equation (14)), U1 (in equation (12)), U2 (in equation (13)) and D (in equation (9)).
These are the current "optimal" values for blood pressure.
We then verified that the corrections of the controller converged towards optimal values for gait rehabilitation.
The approach allows optimal values for the algorithm parameters to be estimated.
The optimal values for minimum wear loss and parameters have been presented.
Optimal values for the size of the crystals and spacing among them have been studied.
Optimal values for the product characteristics were found at medium values for the SFL.
We discover optimal values for some of the mechanical properties, e.g. stiffness-to-density ratio.
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