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        <identifier>oai:drops-oai.dagstuhl.de:9503</identifier>
        <datestamp>2024-03-06T10:43:54Z</datestamp>
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          <dc:title>Dynamic Effective Resistances and Approximate Schur Complement on Separable Graphs</dc:title>
          <dc:creator>Goranci, Gramoz</dc:creator>
          <dc:creator>Henzinger, Monika</dc:creator>
          <dc:creator>Peng, Pan</dc:creator>
          <dc:subject>Dynamic graph algorithms</dc:subject>
          <dc:subject>effective resistance</dc:subject>
          <dc:subject>separable graphs</dc:subject>
          <dc:subject>Schur complement</dc:subject>
          <dc:subject>conditional lower bounds</dc:subject>
          <dc:description>We consider the problem of dynamically maintaining (approximate) all-pairs effective resistances in separable graphs, which are those that admit an n^{c}-separator theorem for some c&lt;1. We give a fully dynamic algorithm that maintains (1+epsilon)-approximations of the all-pairs effective resistances of an n-vertex graph G undergoing edge insertions and deletions with O~(sqrt{n}/epsilon^2) worst-case update time and O~(sqrt{n}/epsilon^2) worst-case query time, if G is guaranteed to be sqrt{n}-separable (i.e., it is taken from a class satisfying a sqrt{n}-separator theorem) and its separator can be computed in O~(n) time. Our algorithm is built upon a dynamic algorithm for maintaining approximate Schur complement that approximately preserves pairwise effective resistances among a set of terminals for separable graphs, which might be of independent interest.
We complement our result by proving that for any two fixed vertices s and t, no incremental or decremental algorithm can maintain the s-t effective resistance for sqrt{n}-separable graphs with worst-case update time O(n^{1/2-delta}) and query time O(n^{1-delta}) for any delta&gt;0, unless the Online Matrix Vector Multiplication (OMv) conjecture is false.
We further show that for general graphs, no incremental or decremental algorithm can maintain the s-t effective resistance problem with worst-case update time O(n^{1-delta}) and query-time O(n^{2-delta}) for any delta &gt;0, unless the OMv conjecture is false.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Gramoz Goranci and Monika Henzinger and Pan Peng</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 112, 26th Annual European Symposium on Algorithms (ESA 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2018.40</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-95036</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2018.40</dc:identifier>
          <dc:language>eng</dc:language>
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