The developed design consists of an initial NH4+ N pulse to a nitrifying biomass sample followed by an additional NO2− N pulse at an optimal time point, which can be rigorously determined by maximizing the value of the determinant of the Fisher information matrix, Det(F) or, alternatively, by visually identifying the point of NH4+ N depletion during the respirometric assay.
These threshold values are determined by maximizing the correlation with the float-determined time series.
Parameters of the DVA are determined by maximizing the damping characteristic of the combined system.
Optimal solutions of number, shape, and leading angle of guide vanes are determined by maximizing the coefficient of power.
Then, considering the stage lengths as design variables, the optimal system performances are determined by maximizing two objective functions, namely the methane conversion and the hydrogen recovery factor.
After acceptance of the mathematical models, the most favorable conditions were determined by maximizing the resolutions between the four compounds and by setting the other responses at threshold values.
In the first algorithm, the real-time state feedback gain is determined by maximizing the state feedback gain with subjected to a set of constraints associated with current invariant set.
Six types of cross-flow reactors were analyzed for reversible series-parallel reaction systems and their optimal feed distributions were determined by maximizing the desired product yield at the outlet of the reactor.
In the present study, the direction of crack advance is determined by maximizing the resolved normal-opening force on the near-tip region, whereas separation itself is governed by the intensity of plastic deformation near the tip.
For the Weibull- and Richards-regression model robust designs are determined by maximizing a minimum of D- or D1-efficiencies, taken over a certain range of the non-linear parameters.
Finally, by virtue of ZOIP, the optimal product varieties (smart cameras) for distinct segments are determined by maximizing overall customer utility (OCU) and taking a firm's pricing policy into account.
