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        <datestamp>2024-03-06T10:43:13Z</datestamp>
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          <dc:title>Restricted Max-Min Fair Allocation</dc:title>
          <dc:creator>Cheng, Siu-Wing</dc:creator>
          <dc:creator>Mao, Yuchen</dc:creator>
          <dc:subject>Fair allocation</dc:subject>
          <dc:subject>approximation</dc:subject>
          <dc:subject>local search</dc:subject>
          <dc:description>The restricted max-min fair allocation problem seeks an allocation of resources to players that maximizes the minimum total value obtained by any player. It is NP-hard to approximate the problem to a ratio less than 2. Comparing the current best algorithm for estimating the optimal value with the current best for constructing an allocation, there is quite a gap between the ratios that can be achieved in polynomial time: 4+delta for estimation and 6 + 2 sqrt{10} + delta ~~ 12.325 + delta for construction, where delta is an arbitrarily small constant greater than 0. We propose an algorithm that constructs an allocation with value within a factor 6 + delta from the optimum for any constant delta &gt; 0. The running time is polynomial in the input size for any constant delta chosen.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Siu-Wing Cheng and Yuchen Mao</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 107, 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2018.37</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-90418</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2018.37</dc:identifier>
          <dc:language>eng</dc:language>
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