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        <identifier>oai:drops-oai.dagstuhl.de:26424</identifier>
        <datestamp>2026-09-05T19:42:58Z</datestamp>
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          <dc:title>Simpler and Improved Replacement Path Coverings</dc:title>
          <dc:creator>Bilò, Davide</dc:creator>
          <dc:creator>Chechik, Shiri</dc:creator>
          <dc:creator>Choudhary, Keerti</dc:creator>
          <dc:creator>Cohen, Sarel</dc:creator>
          <dc:creator>Schirneck, Martin</dc:creator>
          <dc:subject>derandomization</dc:subject>
          <dc:subject>fault tolerance</dc:subject>
          <dc:subject>replacement path coverings</dc:subject>
          <dc:subject>sensitivity data structures</dc:subject>
          <dc:description>An important tool in the design of fault-tolerant graph data structures are (L,f)-replacement path coverings (RPCs). An RPC is a family 𝒢 of subgraphs of a given graph G such that, for every set F of at most f edges, there is a subfamily 𝒢_F ⊆ 𝒢 with the following properties.  &#13;
1) No subgraph in 𝒢_F contains an edge of F. &#13;
2) For each pair of vertices s,t that have a shortest path in G-F with at most L edges, one such path also exists in some subgraph in 𝒢_F.  The covering value of the RPC is the total number |𝒢| of subgraphs. The query time is the time needed to compute the subfamily 𝒢_F given the set F.&#13;
Weimann and Yuster [TALG'13] devised a randomized RPC with covering value Õ(fL^f) and query time Õ(f² L^f). This was derandomized by Karthik and Parter [TALG'24], who also reduced the query time to Õ(f² L). Their approach uses some heavy algebraic machinery involving error-correcting codes and an increased covering value of O((cfL log n)^{f+1}) for some constant c &gt; 1. We instead devise a much simpler derandomization via conditional expectations that lowers the covering value back to Õ(fL^{f+o(1)}) and decreases the query time to Õ(f^{5/2} L^o(1)), assuming f = o(log L).&#13;
We also investigate the optimal covering value of any (L,f)-replacement path covering (deterministic or randomized) for different parameter ranges. We provide a new randomized construction as well as improving a known lower bound, also by Karthik and Parter. For example, for f = o(log L), we give an RPC with Õ((L/f)^f L^o(1)) subgraphs and show that this is tight up to the L^o(1) term.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Davide Bilò and Shiri Chechik and Keerti Choudhary and Sarel Cohen and Martin Schirneck</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 374, 53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2026.35</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-264243</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2026.35</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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