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Constraints were implemented to control the solid material fraction in the facemask design space, and binary variables were used to control the placement of the facemask bars.
Binary variables were used to decide whether a treatment plant and/or a transfer station should be constructed and whether a collection route between two or more nodes should be followed.
Binary variables were used for the statistical analysis reflecting the positivity status of the measures.
These binary variables were used to relate services and practices reported to the care setting and to demographic and socioeconomic variables.
Binary variables were used to analyze sex, travel time to the closest cancer centre (≤2 hours/>2 hours), receipt of RT (yes/no) and receipt of PRT (yes/no).
Two binary variables were used to classify birth weight as less than 2000 grams (LBW) or more, and gestational age as less than 37 weeks (preterm birth) or higher.
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Binary variables are used to select individual wells within a defined field grid.
Binary variables are used to represent the operational and structural choices that have to be made.
In addition, a modified method of handling binary variables is used and the algorithm is adapted to update discrete variables independent from continuous variables using these methods.
Mixed Integer Linear Programming (MILP) formulations are developed where binary variables are used to represent the operational and structural choices that have to be made.
The design problem is cast as a mixed-integer non-linear programming problem, where binary variables are used to define the molecular structure of the working fluids and continuous variables permit the computation of physical and thermodynamic properties.
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