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One approach would be to determine the required safety distances by taking the size of a priority area for wind power usage and, therefore, the feasible number of wind power plants, the affected housing area with its respective noise limit, and the power class of the wind turbine as well as the operating mode (e.g. silent operation during night) into account [16].
The optimal solution of the lower level problem of Example 3.2 is y 1 ( x ) + y 2 ( x ) = x if 2 ≤ x ≤ 4, and y 1 ( x ) + y 2 ( x ) = 8 − x if 4 ≤ x ≤ 6, with y 2 ( x ) ≤ 0. However, only for x ∈ [ 2, 3 ] ∪ [ 5, 6 ] the upper level constraint y 1 + y 2 ≤ 3 holds, and therefore the feasible set is not connected, which is depicted in Figure 2.
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The main problem is that the solution space is very large and therefore the set of feasible solutions cannot be enumerated one by one.
The rest of the theorem follows the convergence proof of the coordinate descent method [19, Section ], replacing the set = with the set of feasible points for which there does not exist a feasible direction of descent: since is compact, the coupling constraint implies that is compact, too, and therefore the whole set of feasible points is compact.
Therefore, the feasible region is bounded, and the problem has an efficient solution.
Since l < lt, we have εt / N < ε i, and therefore, the equal energy allocation is feasible in this case.
However, many of these studies were conducted before HPV assessment was feasible, and therefore, the association remains inconclusive.
Therefore, the feasible approaches are needed for improving the oral bioavailability of biodrugs.
Therefore, the feasible region to improve the objective function is reduced each iteration.
As shown in Fig. 2, the chemical space of the external test set was roughly within the scope of the training set, and therefore it was feasible to predict the acute toxicity of the molecules in the test set with reasonable reliability by using the QSAR models built from the training set.
These two features make such programs less expensive and less time consuming and therefore more feasible for many settings.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com