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In this hypercompetitive environment, the only hope for a young theoretical physicist is to curry favor by solving a set problem in string theory.
Science lessons, in contrast, are often not necessarily problem-based, despite the fact that they often start with a set problem.
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They formulate the problem as a set covering problem.
They formulate this target coverage problem as a set coverage problem, and propose both centralized approximation and distributed heuristic solutions.
We show that the latter problem can be mapped to a minimal hitting set problem in mathematics.
The employee transporting problem is actually a set partitioning problem for the assignment of the vehicles.
But this leaves Hume with a problem (or a set of problems).
The hitting set problem is a "dual" of the set cover problem.
The t-cover hitting set problem is an NP-hard problem.
Specifically, we analyze SEIP using a set cover problem that is NP-hard.
In this paper, we model and resolve the LAP problem as a set-covering problem.
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