As source power p ̌ n ( S ) is assumed to be known for separate optimisation, the optimal relay power p n ( R ) can be computed directly: p n ( R ) = λ ̌ n ( S R ) − λ ̌ n ( S D ) λ n ( R D ) p ̌ n ( S ) ∀ n ∉ ℂ R ( R ) ∪ ℂ D ( R ). (78).
However, PIs are known for sub-optimal ADME properties, resulting in poor oral bioavailability.
If the target power P T is known for the next step, the optimal temperature set-point change u can be solved with the following constrained convex programming: left{ begin{array}{l} hbox{min},FF = left( {P_{T}^{k} - P_{HP}^{k} (u^{k} )} right)^{2} hfill {text{s}text{.t}text,T_{{{rmmin}n}}} le T_^{k} + u^{k} < T_^{k} + u^{k} le T_{{rm max} } hfill end{array} right.
Although mostly applied to bandit problems, Thompson sampling can also be used to solve sequential adaptive control problems, when the optimal policy is known for each possible environment.
Among them, NF technique is known for smaller pore size of membrane and optimal purification efficacy (Dalwani et al. 2010).
In particular, the population-based stochastic methods are known for their good exploration abilities and, when optimal balance between the exploration and exploitation is found, they can be reliable and efficient global optimizers.
In other words, after completing the DP table, the optimal control inputs are known for every state in the admissible region and the robot can move toward the final position without colliding with obstacles.
It is known that for optimal influenza virus replication trypsin addition is crucial.
It is known that for optimal unloading of the respiratory muscles, the ventilator should cycle in synchrony with the activity of the patient's respiratory rhythm.
Assuming the variance ratios to be known, we tabulate D-optimal designs for various combinations of the variance ratios.
