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As a result, distorted genomic compositions have gradually converged to its optimal values described by the tradeoff model.
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The optimal default value (described below) was determined to be α = 0.3 (Supplementary Table 2).
The results of these uncertainty studies are optimal values of permeabilities described by fuzzy sets.
For linear model predictor the principal mathematical problem encountered while constructing the optimal regression formula was the variable number of the independent values describing each dependent value.
In the sequence, optimal values for the parameters describing the behaviour of the dynamic absorber are determined, in order that the transmissibility of the composite system be minimized over the whole frequency range.
Using the solution procedure described above, the optimal values of ( rho ), m and k are ρ = 1, m * = 7, k * = 0.2805, respectively, and the minimum total cost TC (ρ *, m *, k *) = $7555.
For this study, we used the optimal values of the filter parameters as described in [ 12, 19].
In comparison to the two-step Heckman procedure described above, the FIML estimator is computationally intensive to numerically identify optimal values.
We use here the same approach, in order to get an estimate of the optimal values of the parameters used in the algorithm described above.
In this section we provide a theoretical comparison of the MIP models described above with respect to optimal values of their LP-relaxations.
A grid search in logarithmic space was performed to find optimal values for the complexity parameter C and RBF parameter γ, as described [17].
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CEO of Professional Science Editing for Scientists @ prosciediting.com