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          <dc:title>Maximum Area Axis-Aligned Square Packings</dc:title>
          <dc:creator>Akitaya, Hugo A.</dc:creator>
          <dc:creator>Jones, Matthew D.</dc:creator>
          <dc:creator>Stalfa, David</dc:creator>
          <dc:creator>Tóth, Csaba D.</dc:creator>
          <dc:subject>square packing</dc:subject>
          <dc:subject>geometric optimization</dc:subject>
          <dc:description>Given a point set S={s_1,... , s_n} in the unit square U=[0,1]^2, an anchored square packing is a set of n interior-disjoint empty squares in U such that s_i is a corner of the ith square. The reach R(S) of S is the set of points that may be covered by such a packing, that is, the union of all empty squares anchored at points in S.
It is shown that area(R(S))&gt;= 1/2 for every finite set S subset U, and this bound is the best possible. The region R(S) can be computed in O(n log n) time. Finally, we prove that finding a maximum area anchored square packing is NP-complete. This is the first hardness proof for a geometric packing problem where the size of geometric objects in the packing is unrestricted.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Hugo A. Akitaya and Matthew D. Jones and David Stalfa and Csaba D. Tóth</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 117, 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2018.77</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-96594</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2018.77</dc:identifier>
          <dc:language>eng</dc:language>
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