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    <id>8601</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>134</pageFirst>
    <pageLast>147</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>22</volume>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
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    <title language="eng">On the implementation and strengthening of intersection cuts for QCQPs</title>
    <abstract language="eng">The generation of strong linear inequalities for QCQPs has been recently tackled by a number of authors using the intersection cut paradigm - a highly studied tool in integer programming whose flexibility has triggered these renewed efforts in non-linear settings. In this work, we consider intersection cuts using the recently proposed construction of maximal quadratic-free sets. Using these sets, we derive closed-form formulas to compute intersection cuts which allow for quick cut-computations by simply plugging-in parameters associated to an arbitrary quadratic inequality being violated by a vertex of an LP relaxation. Additionally, we implement a cut-strengthening procedure that dates back to Glover and evaluate these techniques with extensive computational experiments.</abstract>
    <parentTitle language="eng">Integer Programming and Combinatorial Optimization: 22nd International Conference, IPCO 2021</parentTitle>
    <identifier type="doi">10.1007/978-3-030-73879-2_10</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="AcceptedDate">2021-01-26</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-79994</enrichment>
    <author>Antonia Chmiela</author>
    <submitter>Antonia Chmiela</submitter>
    <author>Gonzalo Muñoz</author>
    <author>Felipe Serrano</author>
    <collection role="projects" number="MODAL-SynLab">MODAL-SynLab</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="institutes" number="ais2t">AI in Society, Science, and Technology</collection>
  </doc>
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