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        <identifier>oai:drops-oai.dagstuhl.de:22901</identifier>
        <datestamp>2025-10-02T13:36:56Z</datestamp>
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          <dc:title>Dynamic Unit-Disk Range Reporting</dc:title>
          <dc:creator>Wang, Haitao</dc:creator>
          <dc:creator>Zhao, Yiming</dc:creator>
          <dc:subject>Unit disks</dc:subject>
          <dc:subject>range reporting</dc:subject>
          <dc:subject>range emptiness</dc:subject>
          <dc:subject>alpha-hulls</dc:subject>
          <dc:subject>dynamic data structures</dc:subject>
          <dc:subject>shallow cuttings</dc:subject>
          <dc:description>For a set P of n points in the plane and a value r &gt; 0, the unit-disk range reporting problem is to construct a data structure so that given any query disk of radius r, all points of P in the disk can be reported efficiently. We consider the dynamic version of the problem where point insertions and deletions of P are allowed. The previous best method provides a data structure of O(n log n) space that supports O(log^{3+ε} n) amortized insertion time, O(log^{5+ε} n) amortized deletion time, and O(log² n/log log n+k) query time, where ε is an arbitrarily small positive constant and k is the output size. In this paper, we improve the query time to O(log n+k) while keeping other complexities the same as before. A key ingredient of our approach is a shallow cutting algorithm for circular arcs, which may be interesting in its own right. A related problem that can also be solved by our techniques is the dynamic unit-disk range emptiness queries: Given a query unit disk, we wish to determine whether the disk contains a point of P. The best previous work can maintain P in a data structure of O(n) space that supports O(log² n) amortized insertion time, O(log⁴n) amortized deletion time, and O(log² n) query time. Our new data structure also uses O(n) space but can support each update in O(log^{1+ε} n) amortized time and support each query in O(log n) time.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Haitao Wang and Yiming Zhao</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 327, 42nd International Symposium on Theoretical Aspects of Computer Science (STACS 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.STACS.2025.76</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-229019</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2025.76</dc:identifier>
          <dc:language>eng</dc:language>
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