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    <title>&apos;Almost-stable&apos; matchings in the hospitals / residents problem with couples: An integer programming approach</title>
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    <abstract>The Hospitals / Residents problem with Couples (hrc) models the allocation of intending junior doctors to hospitals where couples are allowed to submit joint preference lists over pairs of (typically geographically close) hospitals. It is known that a stable matching need not exist, so we consider min bp hrc, the problem of finding a matching that admits the minimum number of blocking pairs (i.e., is “as stable as possible”). We show that this problem is NP-hard and difficult to approximate even if each couple finds only one hospital pair acceptable. However if we further assume that the preference list of each single resident and hospital is of length at most 2, we give a polynomial-time algorithm for this case. We then show how to adapt an earlier Integer Programming (IP) model for hrc to yield an IP formulation for min bp hrc. Finally, we discuss an empirical evaluation of the IP model applied to randomly-generated instances of min bp hrc. Our main finding is that the number of blocking pairs admitted by a solution is very small, i.e., usually at most 1, and never more than 2, for the (28,000) instances considered.</abstract>
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        <project_name>Efficient Algorithms for Mechanism Design Without Monetary Transfer.</project_name>
        <investigator_name>David Manlove</investigator_name>
        <funder_name>Engineering &amp; Physical Sciences Research Council (EPSRC)</funder_name>
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        <investigator_name>Miles Padgett</investigator_name>
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        <url>http://arxiv.org/abs/1602.01956</url>
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        <title>&quot;Almost-stable&quot; matchings in the Hospitals / Residents problem with Couples</title>
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