Abstract
We study Minimum Entropy Submodular Set Cover, a variant of the Submodular Set Cover problem (Wolsey [21], Fujito [8], etc.) that generalizes the Minimum Entropy Set Cover problem (Halperin and Karp [11], Cardinal et al. [4]) We give a general bound on the approximation performance of the greedy algorithm using an approach that can be interpreted in terms of a particular type of biased network flows. As an application we rederive known results for the Minimum Entropy Set Cover and Minimum Entropy Orientation problems, and obtain a nontrivial bound for a new problem called the Minimum Entropy Spanning Tree problem. The problem can be applied to (and is partly motivated by) a worst-case approach to fairness in concave cooperative games.
G. Istrate and C. Bonchiş were supported by IDEI Grant PN-II-ID-PCE-2011-3-0981. L.P. Dinu was supported by UEFISCDI, PNII-ID-PCE-2011-3-0959.
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Notes
- 1.
The problem is NP-hard, rather than NP-complete, since its specification involves general real numbers that may put it outside class NP.
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Istrate, G., Bonchiş, C., Dinu, L.P. (2016). The Minimum Entropy Submodular Set Cover Problem. In: Dediu, AH., Janoušek, J., Martín-Vide, C., Truthe, B. (eds) Language and Automata Theory and Applications. LATA 2016. Lecture Notes in Computer Science(), vol 9618. Springer, Cham. https://doi.org/10.1007/978-3-319-30000-9_23
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