Popularity in the generalized Hospital Residents Setting
Meghana Nasre, Amit Rawat

TL;DR
This paper extends the concept of popularity to the Hospital Residents problem with classifications and quotas, providing structural characterizations and efficient algorithms for finding popular matchings.
Contribution
It introduces a new notion of popularity for the LCSM+ problem and develops algorithms for maximum cardinality and maximum popularity matchings.
Findings
Structural characterization of popular matchings in LCSM+
O(mn) algorithm for maximum cardinality popular matching
O(mn^2) algorithm for popular maximum cardinality matchings
Abstract
We consider the problem of computing popular matchings in a bipartite graph G = (R U H, E) where R and H denote a set of residents and a set of hospitals respectively. Each hospital h has a positive capacity denoting the number of residents that can be matched to h. The residents and the hospitals specify strict preferences over each other. This is the well-studied Hospital Residents (HR) problem which is a generalization of the Stable Marriage (SM) problem. The goal is to assign residents to hospitals optimally while respecting the capacities of the hospitals. Stability is a well-accepted notion of optimality in such problems. However, motivated by the need for larger cardinality matchings, alternative notions of optimality like popularity have been investigated in the SM setting. In this paper, we consider a generalized HR setting -- namely the Laminar Classified Stable Matchings…
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Taxonomy
TopicsGame Theory and Voting Systems · Complexity and Algorithms in Graphs · Names, Identity, and Discrimination Research
