Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
419081 | Discrete Applied Mathematics | 2014 | 7 Pages |
Abstract
We define an NP -hard clustered variant of the Set Covering Problem where subsets are partitioned into KK clusters and a fixed cost is paid for selecting at least one subset in a given cluster. We show that the problem is approximable within ratio (1+ϵ)(e/e−1)H(q)(1+ϵ)(e/e−1)H(q), where qq is the maximum number of elements covered by a cluster and H(q)=∑i=1q1i.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Laurent Alfandari, Jérôme Monnot,