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        <identifier>oai:drops-oai.dagstuhl.de:12163</identifier>
        <datestamp>2024-03-06T10:49:35Z</datestamp>
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          <dc:title>The ε-t-Net Problem</dc:title>
          <dc:creator>Alon, Noga</dc:creator>
          <dc:creator>Jartoux, Bruno</dc:creator>
          <dc:creator>Keller, Chaya</dc:creator>
          <dc:creator>Smorodinsky, Shakhar</dc:creator>
          <dc:creator>Yuditsky, Yelena</dc:creator>
          <dc:subject>epsilon-nets</dc:subject>
          <dc:subject>geometric hypergraphs</dc:subject>
          <dc:subject>VC-dimension</dc:subject>
          <dc:subject>linear union complexity</dc:subject>
          <dc:description>We study a natural generalization of the classical ε-net problem (Haussler - Welzl 1987), which we call the ε-t-net problem: Given a hypergraph on n vertices and parameters t and ε ≥ t/n, find a minimum-sized family S of t-element subsets of vertices such that each hyperedge of size at least ε n contains a set in S. When t=1, this corresponds to the ε-net problem.&#13;
We prove that any sufficiently large hypergraph with VC-dimension d admits an ε-t-net of size O((1+log t)d/ε log 1/ε). For some families of geometrically-defined hypergraphs (such as the dual hypergraph of regions with linear union complexity), we prove the existence of O(1/ε)-sized ε-t-nets. &#13;
We also present an explicit construction of ε-t-nets (including ε-nets) for hypergraphs with bounded VC-dimension. In comparison to previous constructions for the special case of ε-nets (i.e., for t=1), it does not rely on advanced derandomization techniques. To this end we introduce a variant of the notion of VC-dimension which is of independent interest.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Noga Alon and Bruno Jartoux and Chaya Keller and Shakhar Smorodinsky and Yelena Yuditsky</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 164, 36th International Symposium on Computational Geometry (SoCG 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2020.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-121639</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2020.5</dc:identifier>
          <dc:language>eng</dc:language>
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