License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FSTTCS.2021.30
URN: urn:nbn:de:0030-drops-155419
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/15541/
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Nasre, Meghana ; Nimbhorkar, Prajakta ; Ranjan, Keshav ; Sarkar, Ankita

Popular Matchings in the Hospital-Residents Problem with Two-Sided Lower Quotas

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Abstract

We consider the hospital-residents problem where both hospitals and residents can have lower quotas. The input is a bipartite graph G = (ℛ∪ℋ,E), each vertex in ℛ∪ℋ has a strict preference ordering over its neighbors. The sets ℛ and ℋ denote the sets of residents and hospitals respectively. Each hospital has an upper and a lower quota denoting the maximum and minimum number of residents that can be assigned to it. Residents have upper quota equal to one, however, there may be a requirement that some residents must not be left unassigned in the output matching. We call this as the residents' lower quota.
We show that whenever the set of matchings satisfying all the lower and upper quotas is non-empty, there always exists a matching that is popular among the matchings in this set. We give a polynomial-time algorithm to compute such a matching.

BibTeX - Entry

@InProceedings{nasre_et_al:LIPIcs.FSTTCS.2021.30,
  author =	{Nasre, Meghana and Nimbhorkar, Prajakta and Ranjan, Keshav and Sarkar, Ankita},
  title =	{{Popular Matchings in the Hospital-Residents Problem with Two-Sided Lower Quotas}},
  booktitle =	{41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2021)},
  pages =	{30:1--30:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-215-0},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{213},
  editor =	{Boja\'{n}czy, Miko{\l}aj and Chekuri, Chandra},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/15541},
  URN =		{urn:nbn:de:0030-drops-155419},
  doi =		{10.4230/LIPIcs.FSTTCS.2021.30},
  annote =	{Keywords: Matching, Popularity, Lower quota, Preferences}
}

Keywords: Matching, Popularity, Lower quota, Preferences
Collection: 41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2021)
Issue Date: 2021
Date of publication: 29.11.2021


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