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        <identifier>oai:drops-oai.dagstuhl.de:24582</identifier>
        <datestamp>2025-12-16T14:01:07Z</datestamp>
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          <dc:title>Bootstrapping Dynamic APSP via Sparsification</dc:title>
          <dc:creator>Kyng, Rasmus</dc:creator>
          <dc:creator>Meierhans, Simon</dc:creator>
          <dc:creator>Zöcklein, Gernot</dc:creator>
          <dc:subject>Dynamic Graph Algorithms</dc:subject>
          <dc:subject>Spanners</dc:subject>
          <dc:subject>Vertex Sparsification</dc:subject>
          <dc:subject>Bootstrapping</dc:subject>
          <dc:description>We give a simple algorithm for the dynamic approximate All-Pairs Shortest Paths (APSP) problem. Given a graph G = (V, E, l) with polynomially bounded edge lengths, our data structure processes |E| edge insertions and deletions in total time |E|^{1+o(1)} and provides query access to |E|^o(1)-approximate distances in time Õ(1) per query. &#13;
We produce a data structure that mimics Thorup-Zwick distance oracles [Thorup and Zwick, 2005], but is dynamic and deterministic. Our algorithm selects a small number of pivot vertices. Then, for every other vertex, it reduces distance computation to maintaining distances to a small neighborhood around that vertex and to the nearest pivot. We maintain distances between pivots efficiently by representing them in a smaller graph and recursing. We maintain these smaller graphs by (a) reducing vertex count using the dynamic distance-preserving core graphs of Kyng-Meierhans-Probst Gutenberg [Kyng et al., 2024] in a black-box manner and (b) reducing edge-count using a dynamic spanner akin to Chen-Kyng-Liu-Meierhans-Probst Gutenberg [Chen et al., 2024]. Our dynamic spanner internally uses an APSP data structure. Choosing a large enough size reduction factor in the first step allows us to simultaneously bootstrap a spanner and a dynamic APSP data structure. Notably, our approach does not need expander graphs, an otherwise ubiquitous tool in derandomization.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Rasmus Kyng and Simon Meierhans and Gernot Zöcklein</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 351, 33rd Annual European Symposium on Algorithms (ESA 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2025.113</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-245826</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2025.113</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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