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Note that the optimization condition is met since tr Q ̃ i i = tr Q i i.
In particular, when the mechanical damping ratio exceeds a critical value, the optimization condition is no longer valid.
However, maximization of utility (17) with respect to this new constraint does not change the optimization condition (19).
There are different methods to search for the optimization condition in the multidimensional space [19, 20, 21, 22].
Simulated annealing algorithm is used as the optimization method and the spectrum efficiency is utilized as the optimization condition.
The optimization condition was predicted by genetic algorithm where the optimum conditions were resulted at levels –1, –1, and 0 of calcination temperature, [citrate/nitrate], and [citrate/EG], respectively.
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The validity of using modified central composite design in predicting the optimization conditions was experimentally verified.
In this subsection, we discuss the optimization conditions for problem (20) under strict complementarity and linear independence constraint qualification assumptions.
Under the optimization conditions, the experimental yield was 10.358%, which was well matched with the predictive yield of 10.423%.
The following parameters would be the optimization conditions: discharge voltage 580 V, discharge time 11 min, polymerization temperature 90°C, ratio of water/monomer 4.0, and 3% of MBA.
The aim of this study was to research the optimization conditions of the derivatisation process (maximum yield of silylation reaction) of each anabolic steroid into only one form.
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