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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 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.
Additionally, the optimization conditions defined four sampling points as well as the frequency of sampling at those points in the study area.
It is necessary to perform a further development and study of the optimization conditions to achieve a desired operating of the plant.
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Note that the optimization condition is met since tr Q ̃ i i = tr Q i i.
There are different methods to search for the optimization condition in the multidimensional space [19, 20, 21, 22].
However, maximization of utility (17) with respect to this new constraint does not change the optimization condition (19).
In particular, when the mechanical damping ratio exceeds a critical value, the optimization condition is no longer valid.
Simulated annealing algorithm is used as the optimization method and the spectrum efficiency is utilized as the optimization condition.
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