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The first approach is direct time-domain search for optimal test input values, which can be formulated as a nonconvex optimization or a concave Quadratic Program.
Notably, even with the benefit of perfect hindsight, barely half of these optimal test runs made it back.
This will generally lead to the optimal test frequency.
An optimal test is one that minimizes both the errors $\alpha$ and $\beta$.
All inequalities we derive are sharp but the optimal test functions are different.
It is shown that in some cases the optimal test profile is Markovian, whereas in some other cases the optimal test profile demonstrates a different scenario.
That is, an optimal test depends only on a threshold for the ratio $P_{h'}(s) / P_{h}(s)$.
The optimal test conditions for desulfarization are extracted from the Design-Expert 6.0 software.
Objective: There is currently no optimal test to screen for endogenous Cushing's syndrome (CS) in children.
The optimal test of proteinuria to identify those at risk is uncertain.
The new DPG method is designed following the previously established principles of optimal test functions.
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