Maximum Locally Stable Matchings

Maximum Locally Stable Matchings

Motivated by the observation that most companies are more likely to consider job applicants suggested by their employees than those who apply on their own, Arcaute and Vassilvitskii modeled a job market that integrates social networks into stable matchings in an interesting way. We call their model HR+SN because an instance of their model is an ordered pair (I,G) where I is a typical instance o...

Maximum cardinality popular matchings in the stable marriage problem

Popular matching and was extensively studied in recent years as an alternative to stable matchings. Both type of matchings are defined in the framework of Stable Marriage (SM) problem: in a given bipartite graph G = (A,B;E) each vertex u has a strict order of preference on its neighborhood. A matching M is popular, if for every matching M ′ of G, the number of vertices that prefer M ′ to M is a...

Assigning Refugees to Landlords in Sweden: Efficient Stable Maximum Matchings

The member states of the European Union received 1.2 million first time asylum applications in 2015 (a doubling compared to 2014). Even if asylum will be granted for many of the refugees that made the journey to Europe, several obstacles for successful integration remain. This paper focuses on one of these obstacles, namely the problem of finding housing for refugees once they have been granted...

Stable Matchings

Locally Correct Fréchet Matchings

The Fréchet distance is a metric to compare two curves, which is based on monotonous matchings between these curves. We call a matching that results in the Fréchet distance a Fréchet matching. There are often many different Fréchet matchings and not all of these capture the similarity between the curves well. We propose to restrict the set of Fréchet matchings to “natural” matchings and to this...