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We develop a model for this problem and apply the reformulation linearization technique (RLT) to construct various enhanced tightened versions of the proposed model.
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A model for solving this problem has not been found everywhere in the EU.
A mathematical model for this problem domain was developed, based on a model description of the acoustic field.
We developed a mathematical model for this problem.
The presented study covers the employment of three different artificial neural network methods and a fuzzy model for this problem.
In particular, we proposed a MIP model for this problem to minimize the average entry time, given an acceptable error threshold.
In order to do this, a model for our problem was defined as Y = ∑ j = 0 k β j ψ j (X j ) with k being the polynomial degree.
Considering the 10% variance on the perceptive tests, we believe that EDS found a virtually optimal model for this problem.
We present an integer programming model for this problem and show that its structure lends itself very naturally to Benders decomposition.
We propose an integrated nonlinear optimization model for this problem.
We first propose a linear mixed integer programming model for this problem and then derive variants of the problem that might arise in certain applications.
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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