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But in Hawkins and Ahmad's new model this problem disappears.
A nonlinear Mathieu equation is used to model this problem.
To model this problem, a fuzzy chance constrained programming model of that is designed based upon the fuzzy credibility theory.
To model this problem over a range of bulk concentrations, C, the bulk convective/diffusive transport of surfactant to the interface must be calculated.
We model this problem as a novel application of the minimum cost flow problem and show the applicability of the model for different types of layouts and priorities.
We present different Integer Linear Programming formulations to model this problem and provide computational results showing that the optimal solutions can be computed for realistic problem instances.
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This paper models this problem in a simple dynamic set-up.
We believe modeling this problem formally can clarify the issue as well as clearly identify the boundary of current technology.
When modelling this problem it is usually assumed that the specific machine in which each operation is carried out is known.
First we modeled this problem as a linearly constrained quadratic optimization, in which the decision variables are the amount of reactive power that compensators inject into the network.
We modeled this problem as a hierarchical multi-label problem and used the SSVM framework for developing PHENOstruct.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com