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        <identifier>oai:drops-oai.dagstuhl.de:16165</identifier>
        <datestamp>2024-03-06T10:57:03Z</datestamp>
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          <dc:title>Fault-Tolerant Edge-Disjoint s-t Paths - Beyond Uniform Faults</dc:title>
          <dc:creator>Adjiashvili, David</dc:creator>
          <dc:creator>Hommelsheim, Felix</dc:creator>
          <dc:creator>Mühlenthaler, Moritz</dc:creator>
          <dc:creator>Schaudt, Oliver</dc:creator>
          <dc:subject>graph algorithms</dc:subject>
          <dc:subject>network design</dc:subject>
          <dc:subject>fault tolerance</dc:subject>
          <dc:subject>approximation algorithms</dc:subject>
          <dc:description>The Edge-disjoint s-t Paths Problem (s-t EDP) is a classical network design problem whose goal is to connect for some k ≥ 1 two given vertices of a graph under the condition that any k-1 edges of the graph may fail. We extend the simple uniform failure model of the s-t EDP as follows: the edge set of the graph is partitioned into vulnerable, and safe edges, and a set of at most k vulnerable edges may fail, while safe edges do not fail. In particular we study the Fault-Tolerant Path (FTP) problem, the counterpart of the Shortest s-t Path problem in this non-uniform failure model as well as the Fault-Tolerant Flow (FTF) problem, the counterpart of s-t EDP. We present complexity results alongside exact and approximation algorithms for both problems. We emphasize the vast increase in complexity of the problems compared to s-t EDP.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>David Adjiashvili and Felix Hommelsheim and Moritz Mühlenthaler and Oliver Schaudt</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 227, 18th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SWAT.2022.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-161659</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SWAT.2022.5</dc:identifier>
          <dc:language>eng</dc:language>
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