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        <datestamp>2024-03-06T10:51:03Z</datestamp>
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          <dc:title>Approximate CVP_p in Time 2^{0.802 n}</dc:title>
          <dc:creator>Eisenbrand, Friedrich</dc:creator>
          <dc:creator>Venzin, Moritz</dc:creator>
          <dc:subject>Shortest and closest vector problem</dc:subject>
          <dc:subject>approximation algorithm</dc:subject>
          <dc:subject>sieving</dc:subject>
          <dc:subject>covering convex bodies</dc:subject>
          <dc:description>We show that a constant factor approximation of the shortest and closest lattice vector problem w.r.t. any 𝓁_p-norm can be computed in time 2^{(0.802 +ε) n}. This matches the currently fastest constant factor approximation algorithm for the shortest vector problem w.r.t. 𝓁₂. To obtain our result, we combine the latter algorithm w.r.t. 𝓁₂ with geometric insights related to coverings.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Friedrich Eisenbrand and Moritz Venzin</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 173, 28th Annual European Symposium on Algorithms (ESA 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2020.43</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-129097</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2020.43</dc:identifier>
          <dc:language>eng</dc:language>
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