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        <identifier>oai:drops-oai.dagstuhl.de:17019</identifier>
        <datestamp>2024-03-06T10:58:59Z</datestamp>
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          <dc:title>A Unified Framework for Hopsets</dc:title>
          <dc:creator>Neiman, Ofer</dc:creator>
          <dc:creator>Shabat, Idan</dc:creator>
          <dc:subject>Graph Algorithms</dc:subject>
          <dc:subject>Shortest Paths</dc:subject>
          <dc:subject>Hopsets</dc:subject>
          <dc:description>Given an undirected graph G = (V,E), an (α,β)-hopset is a graph H = (V,E'), so that adding its edges to G guarantees every pair has an α-approximate shortest path that has at most β edges (hops), that is, d_G(u,v) ≤ d_{G∪H}^(β)(u,v) ≤ α⋅ d_G(u,v). Given the usefulness of hopsets for fundamental algorithmic tasks, several different algorithms and techniques were developed for their construction, for various regimes of the stretch parameter α.&#13;
In this work we devise a single algorithm that can attain all state-of-the-art hopsets for general graphs, by choosing the appropriate input parameters. In fact, in some cases it also improves upon the previous best results. We also show a lower bound on our algorithm.&#13;
In [Ben-Levy and Parter, 2020], given a parameter k, a (O(k^ε),O(k^{1-ε}))-hopset of size Õ(n^{1+1/k}) was shown for any n-vertex graph and parameter 0 &lt; ε &lt; 1, and they asked whether this result is best possible. We resolve this open problem, showing that any (α,β)-hopset of size O(n^{1+1/k}) must have α⋅β ≥ Ω(k).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ofer Neiman and Idan Shabat</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 244, 30th Annual European Symposium on Algorithms (ESA 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2022.81</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-170192</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2022.81</dc:identifier>
          <dc:language>eng</dc:language>
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