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        <datestamp>2024-03-06T10:49:44Z</datestamp>
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          <dc:title>Fast Algorithms for Minimum Cycle Basis and Minimum Homology Basis</dc:title>
          <dc:creator>Rathod, Abhishek</dc:creator>
          <dc:subject>Computational topology</dc:subject>
          <dc:subject>Minimum homology basis</dc:subject>
          <dc:subject>Minimum cycle basis</dc:subject>
          <dc:subject>Simplicial complexes</dc:subject>
          <dc:subject>Matrix computations</dc:subject>
          <dc:description>We study the problem of finding a minimum homology basis, that is, a shortest set of cycles that generates the 1-dimensional homology classes with ℤ₂ coefficients in a given simplicial complex K. This problem has been extensively studied in the last few years. For general complexes, the current best deterministic algorithm, by Dey et al. [Dey et al., 2018], runs in O(N^ω + N² g) time, where N denotes the number of simplices in K, g denotes the rank of the 1-homology group of K, and ω denotes the exponent of matrix multiplication. In this paper, we present two conceptually simple randomized algorithms that compute a minimum homology basis of a general simplicial complex K. The first algorithm runs in Õ(m^ω) time, where m denotes the number of edges in K, whereas the second algorithm runs in O(m^ω + N m^{ω-1}) time.&#13;
We also study the problem of finding a minimum cycle basis in an undirected graph G with n vertices and m edges. The best known algorithm for this problem runs in O(m^ω) time. Our algorithm, which has a simpler high-level description, but is slightly more expensive, runs in Õ(m^ω) time.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Abhishek Rathod</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 164, 36th International Symposium on Computational Geometry (SoCG 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2020.64</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-122223</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2020.64</dc:identifier>
          <dc:language>eng</dc:language>
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