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The phrase "as optimal values" is correct and usable in written English.
It can be used in contexts where you are discussing the best or most efficient values in a particular situation, such as in mathematics, economics, or optimization problems.
Example: "The algorithm was designed to identify the parameters that would yield the results as optimal values for the given dataset."
Alternatives: "as ideal values" or "as best values".
Exact(3)
With σ, β fixed as optimal values from Eqs. 11 and 12).
Suppose after solving the FFM-grid problem for a certain state we obtain (Y_{ij}^) and (X_{j}^) as optimal values of the decision variables.
σ and β are taken as optimal, values of γk components have all been fixed arbitrary to 1, as no significant change has been seen around this value, and the θk have been expressed with regards to a non-dimensional parameter scaled by the maximum distance in all four directions.
Similar(56)
However, 4 g of sample amount was selected as optimal value with the aim to improve the specifications of method.
Five minutes was taken as optimal value because it was enough for complete drying of the enzyme drop deposited on the transducer.
The memory hierarchies that achieved the lowest energy consumption values for the data branch, known as optimal value, were compared in terms of energy consumption with all the above mentioned heuristics (Figure 9).
In this paper, we have shown in Section 3.2 that, in CP tensor decompositions, the scale matrix Λ takes as optimal value a Gram matrix controlling the conditioning of the problem.
However, when 2 g acid silica gel at 30% sulfuric acid was used, the column was plugged hampering the sample elution, so 4 g silica gel at 15% sulfuric acid was selected as optimal value.
In the case of experimental data, for each mouse, we applied a discrepancy approach: we chose as optimal value of the regularization parameter the value for which the discrepancy between the experimental data and the data predicted by the regularized solution coincided with the uncertainty on the measurement [20].
A threshold of 0.8 has been recognized as optimal value; lower threshold values lead to greater inaccuracy (noisy classification) while a threshold value of 0.9 may reduce too much the number of points for some of the tissues.
From the Lagrangian function we derive some of the KKT optimality conditions of the convex optimization problem as far as the optimal values of the variables form a saddle-point in the function plot.
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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