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        <identifier>oai:drops-oai.dagstuhl.de:8266</identifier>
        <datestamp>2024-03-06T10:41:47Z</datestamp>
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          <dc:title>An Improved Algorithm for Computing All the Best Swap Edges of a Tree Spanner</dc:title>
          <dc:creator>Bilò, Davide</dc:creator>
          <dc:creator>Colella, Feliciano</dc:creator>
          <dc:creator>Gualà, Luciano</dc:creator>
          <dc:creator>Leucci, Stefano</dc:creator>
          <dc:creator>Proietti, Guido</dc:creator>
          <dc:subject>Transient edge failure</dc:subject>
          <dc:subject>Swap algorithm</dc:subject>
          <dc:subject>Tree spanner</dc:subject>
          <dc:description>A tree sigma-spanner of a positively real-weighted n-vertex and m-edge undirected graph G is a spanning tree T of G which approximately preserves (i.e., up to a multiplicative stretch factor sigma) distances in G.&#13;
Tree spanners with provably good stretch factors find applications in communication networks, distributed systems, and network design. However, finding an optimal or even a good tree spanner is a very hard computational task.  Thus, if one has to face a transient edge failure in T, the overall effort that has to be afforded to rebuild a new tree spanner (i.e., computational costs, set-up of new links, updating of the routing tables, etc.) can be rather prohibitive. To circumvent this drawback, an effective alternative is that of associating with each  tree edge a best possible (in terms of resulting stretch) swap edge -- a well-established approach in the literature for several other tree topologies. Correspondingly, the problem of computing all the best swap edges of a tree spanner is a challenging algorithmic problem, since solving it efficiently means to exploit the structure of shortest paths not only in G, but also in all the scenarios in which an edge of T has failed. For this problem we provide a very efficient solution, running in O(n^2 log^4 n) time, which drastically improves (almost by a quadratic factor in n in dense graphs!) on the previous known best result.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Davide Bilò and Feliciano Colella and Luciano Gualà and Stefano Leucci and Guido Proietti</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 92, 28th International Symposium on Algorithms and Computation (ISAAC 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2017.14</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-82663</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2017.14</dc:identifier>
          <dc:language>eng</dc:language>
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