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        <identifier>oai:drops-oai.dagstuhl.de:12191</identifier>
        <datestamp>2024-03-06T10:49:40Z</datestamp>
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          <dc:title>Finding Closed Quasigeodesics on Convex Polyhedra</dc:title>
          <dc:creator>Demaine, Erik D.</dc:creator>
          <dc:creator>Hesterberg, Adam C.</dc:creator>
          <dc:creator>Ku, Jason S.</dc:creator>
          <dc:subject>polyhedra</dc:subject>
          <dc:subject>geodesic</dc:subject>
          <dc:subject>pseudopolynomial</dc:subject>
          <dc:subject>geometric precision</dc:subject>
          <dc:description>A closed quasigeodesic is a closed loop on the surface of a polyhedron with at most 180° of surface on both sides at all points; such loops can be locally unfolded straight. In 1949, Pogorelov proved that every convex polyhedron has at least three (non-self-intersecting) closed quasigeodesics, but the proof relies on a nonconstructive topological argument. We present the first finite algorithm to find a closed quasigeodesic on a given convex polyhedron, which is the first positive progress on a 1990 open problem by O'Rourke and Wyman. The algorithm’s running time is pseudopolynomial, namely O(n²/ε² L/𝓁 b) time, where ε is the minimum curvature of a vertex, L is the length of the longest edge, 𝓁 is the smallest distance within a face between a vertex and a nonincident edge (minimum feature size of any face), and b is the maximum number of bits of an integer in a constant-size radical expression of a real number representing the polyhedron. We take special care in the model of computation and needed precision, showing that we can achieve the stated running time on a pointer machine supporting constant-time w-bit arithmetic operations where w = Ω(lg b).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Erik D. Demaine and Adam C. Hesterberg and Jason S. Ku</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.2020.33</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-121912</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2020.33</dc:identifier>
          <dc:language>eng</dc:language>
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