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        <datestamp>2024-03-06T10:44:15Z</datestamp>
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          <dc:title>Multivariate Analysis of Orthogonal Range Searching and Graph Distances</dc:title>
          <dc:creator>Bringmann, Karl</dc:creator>
          <dc:creator>Husfeldt, Thore</dc:creator>
          <dc:creator>Magnusson, Måns</dc:creator>
          <dc:subject>Diameter</dc:subject>
          <dc:subject>radius</dc:subject>
          <dc:subject>Wiener index</dc:subject>
          <dc:subject>orthogonal range searching</dc:subject>
          <dc:subject>treewidth</dc:subject>
          <dc:subject>vertex cover number</dc:subject>
          <dc:description>We show that the eccentricities, diameter, radius, and Wiener index of an undirected n-vertex graph with nonnegative edge lengths can be computed in time O(n * binom{k+ceil[log n]}{k} * 2^k k^2 log n), where k is the treewidth of the graph. For every epsilon&gt;0, this bound is n^{1+epsilon}exp O(k), which matches a hardness result of Abboud, Vassilevska Williams, and Wang (SODA 2015) and closes an open problem in the multivariate analysis of polynomial-time computation. To this end, we show that the analysis of an algorithm of Cabello and Knauer (Comp. Geom., 2009) in the regime of non-constant treewidth can be improved by revisiting the analysis of orthogonal range searching, improving bounds of the form log^d n to binom{d+ceil[log n]}{d}, as originally observed by Monier (J. Alg. 1980).
We also investigate the parameterization by vertex cover number.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Karl Bringmann and Thore Husfeldt and Måns Magnusson</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 115, 13th International Symposium on Parameterized and Exact Computation (IPEC 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2018.4</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-102050</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2018.4</dc:identifier>
          <dc:language>eng</dc:language>
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