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        <datestamp>2024-03-06T10:46:02Z</datestamp>
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          <dc:title>Dynamic Planar Point Location in External Memory</dc:title>
          <dc:creator>Munro, J. Ian</dc:creator>
          <dc:creator>Nekrich, Yakov</dc:creator>
          <dc:subject>Data Structures</dc:subject>
          <dc:subject>Dynamic Data Structures</dc:subject>
          <dc:subject>Planar Point Location</dc:subject>
          <dc:subject>External Memory</dc:subject>
          <dc:description>In this paper we describe a fully-dynamic data structure for the planar point location problem in the external memory model. Our data structure supports queries in O(log_B n(log log_B n)^3)) I/Os and updates in O(log_B n(log log_B n)^2)) amortized I/Os, where n is the number of segments in the subdivision and B is the block size. This is the first dynamic data structure with almost-optimal query cost. For comparison all previously known results for this problem require O(log_B^2 n) I/Os to answer queries. Our result almost matches the best known upper bound in the internal-memory model.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>J. Ian Munro and Yakov Nekrich</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 129, 35th International Symposium on Computational Geometry (SoCG 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2019.52</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-104566</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2019.52</dc:identifier>
          <dc:language>eng</dc:language>
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