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        <identifier>oai:drops-oai.dagstuhl.de:14483</identifier>
        <datestamp>2024-03-06T10:54:07Z</datestamp>
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          <dc:title>Isometric Embeddings in Trees and Their Use in Distance Problems</dc:title>
          <dc:creator>Ducoffe, Guillaume</dc:creator>
          <dc:subject>Tree embeddings</dc:subject>
          <dc:subject>Range queries</dc:subject>
          <dc:subject>Centroid decomposition</dc:subject>
          <dc:subject>Heavy-path decomposition</dc:subject>
          <dc:subject>Diameter</dc:subject>
          <dc:subject>Radius and all Eccentricities computations</dc:subject>
          <dc:description>We present powerful techniques for computing the diameter, all the eccentricities, and other related distance problems on some geometric graph classes, by exploiting their "tree-likeness" properties. We illustrate the usefulness of our approach as follows:  &#13;
- We propose a subquadratic-time algorithm for computing all eccentricities on partial cubes of bounded lattice dimension and isometric dimension O(n^{0.5-ε}). This is one of the first positive results achieved for the diameter problem on a subclass of partial cubes beyond median graphs. &#13;
- Then, we obtain almost linear-time algorithms for computing all eccentricities in some classes of face-regular plane graphs, including benzenoid systems, with applications to chemistry. Previously, only a linear-time algorithm for computing the diameter and the center was known (and an Õ(n^{5/3})-time algorithm for computing all the eccentricities). &#13;
- We also present an almost linear-time algorithm for computing the eccentricities in a polygon graph with an additive one-sided error of at most 2. &#13;
- Finally, on any cube-free median graph, we can compute its absolute center in almost linear time. Independently from this work, Bergé and Habib have recently presented a linear-time algorithm for computing all eccentricities in this graph class (LAGOS'21), which also implies a linear-time algorithm for the absolute center problem.  Our strategy here consists in exploiting the existence of some embeddings of these graphs in either a system or a product of trees, or in a single tree but where each vertex of the graph is embedded in a subset of nodes. While this may look like a natural idea, the way it can be done efficiently, which is our main technical contribution in the paper, is surprisingly intricate.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Guillaume Ducoffe</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 202, 46th International Symposium on Mathematical Foundations of Computer Science (MFCS 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2021.43</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-144835</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2021.43</dc:identifier>
          <dc:language>eng</dc:language>
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