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        <identifier>oai:drops-oai.dagstuhl.de:23434</identifier>
        <datestamp>2025-10-02T12:55:01Z</datestamp>
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          <dc:title>Undirected 3-Fault Replacement Path in Nearly Cubic Time</dc:title>
          <dc:creator>Chi, Shucheng</dc:creator>
          <dc:creator>Duan, Ran</dc:creator>
          <dc:creator>Wang, Benyu</dc:creator>
          <dc:creator>Xie, Tianle</dc:creator>
          <dc:subject>Graph Algorithm</dc:subject>
          <dc:subject>Shortest Path</dc:subject>
          <dc:subject>Replacement Path</dc:subject>
          <dc:description>Given a graph G = (V,E) (n = |V|, m = |E|) and two vertices s,t ∈ V, the f-fault replacement path (fFRP) problem computes for every set F of at most f edges, the distance from s to t when edges in F fail. A recent result shows that 2FRP in directed graphs can be solved in Õ(n³) time [Vassilevska Williams, Woldeghebriel, Xu 2022]. In this paper, we show a 3FRP algorithm in deterministic Õ(n³) time for undirected weighted graphs, which almost matches the size of the output. This implies that fFRP in undirected graphs can be solved in nearly optimal Õ(n^f) time for all f ≥ 3.&#13;
To construct our 3FRP algorithm, we introduce an incremental distance sensitivity oracle (DSO) for undirected graphs with Õ(n²) worst-case update time, while preprocessing time, space, and query time are still Õ(n³), Õ(n²) and Õ(1), respectively, which match the static DSO [Bernstein and Karger 2009]. Here in a DSO, we can preprocess a graph so that the distance between any pair of vertices given any failed edge can be answered efficiently. From the recent result in [Peng and Rubinstein 2023], we can obtain an offline dynamic DSO from the incremental worst-case DSO, which makes the construction of our 3FRP algorithm more convenient. By the offline dynamic DSO, we can also construct a 2-fault single-source replacement path (2-fault SSRP) algorithm in Õ(n³) time, that is, from a given vertex s, we want to find the distance to any vertex t when any pair of edges fail. Thus the Õ(n³) time complexity for 2-fault SSRP is also nearly optimal.&#13;
Now we know that in undirected graphs 1FRP can be solved in Õ(m) time [Nardelli, Proietti, Widmayer 2001], and 2FRP and 3FRP in undirected graphs can be solved in Õ(n³) time. In this paper, we also show that a truly subcubic algorithm for 2FRP in undirected weighted graphs does not exist under APSP hypothesis.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Shucheng Chi and Ran Duan and Benyu Wang and Tianle Xie</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 334, 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2025.57</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-234346</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2025.57</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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