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When modelling this problem it is usually assumed that the specific machine in which each operation is carried out is known.
The most straightforward algorithm for modelling this problem (in the case of two objects: A1 and A2) is checking each sphere from object A1 against each sphere from object A2, and we know that objects A1 and A2 intersect only if one or more of these pairs intersect.
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A nonlinear Mathieu equation is used to model this problem.
We use two game theory approaches to model this problem; Stackelberg manufacturer and Stackelberg retailer.
Based on the interference graph, a coalitional graph game framework was proposed to model this problem.
Based on Symptom-Action bipartite graph, we can model this problem as WSC problem to solve it [26].
To find the optimal solution, we therefore model this problem as maximum weighted matching in general graphs.
To model this problem, a fuzzy chance constrained programming model of that is designed based upon the fuzzy credibility theory.
We believe modeling this problem formally can clarify the issue as well as clearly identify the boundary of current technology.
To model this problem as a regression model, we write the disease gene network as a linear combination of the drug-gene subnetworks.
We can model this problem by organizing the servers into an overlay network, and representing that network as an undirected graph.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com