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        <identifier>oai:drops-oai.dagstuhl.de:17417</identifier>
        <datestamp>2024-03-06T10:59:42Z</datestamp>
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          <dc:title>When You Come at the King You Best Not Miss</dc:title>
          <dc:creator>Lachish, Oded</dc:creator>
          <dc:creator>Reidl, Felix</dc:creator>
          <dc:creator>Trehan, Chhaya</dc:creator>
          <dc:subject>Digraphs</dc:subject>
          <dc:subject>tournaments</dc:subject>
          <dc:subject>kings</dc:subject>
          <dc:subject>query complexity</dc:subject>
          <dc:description>A tournament is an orientation of a complete graph. We say that a vertex x in a tournament T controls another vertex y if there exists a directed path of length at most two from x to y. A vertex is called a king if it controls every vertex of the tournament. It is well known that every tournament has a king. We follow Shen, Sheng, and Wu [Jian Shen et al., 2003] in investigating the query complexity of finding a king, that is, the number of arcs in T one has to know in order to surely identify at least one vertex as a king.&#13;
The aforementioned authors showed that one always has to query at least Ω(n^{4/3}) arcs and provided a strategy that queries at most O(n^{3/2}). While this upper bound has not yet been improved for the original problem, [Biswas et al., 2017] proved that with O(n^{4/3}) queries one can identify a semi-king, meaning a vertex which controls at least half of all vertices.&#13;
Our contribution is a novel strategy which improves upon the number of controlled vertices: using O(n^{4/3} polylog n) queries, we can identify a (1/2+2/17)-king. To achieve this goal we use a novel structural result for tournaments.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Oded Lachish and Felix Reidl and Chhaya Trehan</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 250, 42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FSTTCS.2022.25</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-174177</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2022.25</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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