Résumé : In this talk we will consider algorithms for finding optimal popular matchings. While it is easy to find max-size popular matchings, it is NP-hard to find a min-cost popular matching. This motivates us to relax popularity to a weaker notion called "quasi-popularity". Describing the popular and quasi-popular matching polytopes is hard, but there is an easy-to-describe integral polytope sandwiched between these two hard ones (see the illustration). So we can efficiently find a quasi-popular matching of cost at most that of a min-cost popular matching.
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Dernière modification : Monday 27 May 2024 | Contact pour cette page : Cyril.Banderier at lipn.univ-paris13.fr |