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        <datestamp>2024-03-06T10:51:16Z</datestamp>
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          <dc:title>On Testing and Robust Characterizations of Convexity</dc:title>
          <dc:creator>Blais, Eric</dc:creator>
          <dc:creator>Bommireddi, Abhinav</dc:creator>
          <dc:subject>Convexity</dc:subject>
          <dc:subject>Line segment test</dc:subject>
          <dc:subject>Convex hull test</dc:subject>
          <dc:subject>Intersecting cones</dc:subject>
          <dc:description>A body K ⊂ ℝⁿ is convex if and only if the line segment between any two points in K is completely contained within K or, equivalently, if and only if the convex hull of a set of points in K is contained within K. We show that neither of those characterizations of convexity are robust: there are bodies in ℝⁿ that are far from convex - in the sense that the volume of the symmetric difference between the set K and any convex set C is a constant fraction of the volume of K - for which a line segment between two randomly chosen points x,y ∈ K or the convex hull of a random set X of points in K is completely contained within K except with exponentially small probability. These results show that any algorithms for testing convexity based on the natural line segment and convex hull tests have exponential query complexity.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Eric Blais and Abhinav Bommireddi</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 176, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2020.18</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-126214</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2020.18</dc:identifier>
          <dc:language>eng</dc:language>
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