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        <datestamp>2024-03-06T10:56:47Z</datestamp>
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          <dc:title>On Complexity of Computing Bottleneck and Lexicographic Optimal Cycles in a Homology Class</dc:title>
          <dc:creator>Chambers, Erin Wolf</dc:creator>
          <dc:creator>Parsa, Salman</dc:creator>
          <dc:creator>Schreiber, Hannah</dc:creator>
          <dc:subject>computational topology</dc:subject>
          <dc:subject>bottleneck optimal cycles</dc:subject>
          <dc:subject>homology</dc:subject>
          <dc:description>Homology features of spaces which appear in applications, for instance 3D meshes, are among the most important topological properties of these objects. Given a non-trivial cycle in a homology class, we consider the problem of computing a representative in that homology class which is optimal. We study two measures of optimality, namely, the lexicographic order of cycles (the lex-optimal cycle) and the bottleneck norm (a bottleneck-optimal cycle). We give a simple algorithm for computing the lex-optimal cycle for a 1-homology class in a closed orientable surface. In contrast to this, our main result is that, in the case of 3-manifolds of size n² in the Euclidean 3-space, the problem of finding a bottleneck optimal cycle cannot be solved more efficiently than solving a system of linear equations with an n × n sparse matrix. From this reduction, we deduce several hardness results. Most notably, we show that for 3-manifolds given as a subset of the 3-space of size n², persistent homology computations are at least as hard as rank computation (for sparse matrices) while ordinary homology computations can be done in O(n² log n) time. This is the first such distinction between these two computations. Moreover, it follows that the same disparity exists between the height persistent homology computation and general sub-level set persistent homology computation for simplicial complexes in the 3-space.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Erin Wolf Chambers and Salman Parsa and Hannah Schreiber</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 224, 38th International Symposium on Computational Geometry (SoCG 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2022.25</dc:identifier>
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          <dc:language>eng</dc:language>
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