In a set-covering model,each member of a given set (set 1)must be "covered" by an acceptable member of another set (set 2).The objective of such problems is to minimize the number of elements in set 2 that are needed to cover all the elements in set 1.

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In a set-covering model, the goal is indeed to minimize the number of elements in set 2 (the covering set) that are needed to ensure every element in set 1 (the set to be covered) is "covered" by at least one element from set 2. This is a common formulation in optimization and operations research for problems like facility location, crew scheduling, and network design.

In a Set-Covering Model,each Member of a Given Set (Set