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Higher speech recognition scores with the simultaneous strategy were generally associated with lower levels of electrical-field interaction.
This approach leads to an efficient simultaneous strategy, where the NLP and the PDE model are solved at the same time.
The differential-algebraic equation (DAE) optimisation problem is solved with an advanced simultaneous strategy that transforms the original problem into a large-scale nonlinear programming (NLP) problem through discretisation in time of the entire set of variables by collocation on finite elements.
They developed a NLP problem and was solved using a simultaneous strategy where a continuous problem was converted into an NLP.
This simultaneous strategy allowed us to disentangle the respective effect of depreciations management on revenues and expenses and therefore provide more precise estimations compared to the single-equation model.
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In this study, we present an improved algorithm for simultaneous strategies for dynamic optimization.
In this paper, efficient simultaneous strategies are presented for the optimization of practical problems involving PDE-models.
An approach of simultaneous strategies with two novel techniques is proposed to improve the solution accuracy of chemical dynamic optimization problems.
Electrical-field interaction accounted for as much as 70% of the variance in speech recognition scores, suggesting that electrical-field interaction is a significant contributor to the variability found across patients who use simultaneous strategies.
The first technique is to handle constraints on control variables based on the finite-element collocation so as to control the approximation error for discrete optimal problems, where a set of control constraints at element knots are integrated with the procedure for optimization leading to a significant gain in the accuracy of the simultaneous strategies.
Coaching the champions to adapt various approaches for the implementation of their newly acquired knowledge is an important tool in our study, in consequence of the need for simultaneous strategies in health care innovations [ 33].
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