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Set cover problem : ウィキペディア英語版
Set cover problem
The set cover problem is a classical question in combinatorics, computer science and complexity theory. It is one of Karp's 21 NP-complete problems shown to be NP-complete in 1972.
It is a problem "whose study has led to the development of fundamental techniques for the entire field" of approximation algorithms.
Given a set of elements \ (called the universe) and a collection S of n sets whose union equals the universe, the set cover problem is to identify the smallest sub-collection of S whose union equals the universe. For example, consider the universe U = \ and the colletion of sets S = \, \, \\}. Clearly the union of S is U. However, we can cover all of the elements with the following, smaller number of sets: \\}.
More formally, given a universe \mathcal and a family \mathcal of subsets of \mathcal,
a ''cover'' is a subfamily \mathcal\subseteq\mathcal of sets whose union is \mathcal. In the set covering decision problem, the input is a pair (\mathcal,\mathcal) and an integer k; the question is whether
there is a set covering of size k or less. In the set covering optimization problem, the input is a pair (\mathcal,\mathcal), and the task is to find a set covering that uses the fewest sets.
The decision version of set covering is NP-complete, and the optimization version of set cover is NP-hard .
If each set is assigned a cost, it becomes a ''weighted'' set cover problem.
==Integer linear program formulation==
The minimum set cover problem can be formulated as the following integer linear program (ILP).
x_S \geqslant 1
| for all e\in \mathcal U
| (cover every element of the universe)
|-
|
| x_S \in \
| for all S\in \mathcal S.
| (every set is either in the set cover or not)
|}
This ILP belongs to the more general class of ILPs for covering problems.
The integrality gap of this ILP is at most \scriptstyle \log n, so its relaxation gives a factor-\scriptstyle \log n approximation algorithm for the minimum set cover problem (where \scriptstyle n is the size of the universe).

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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