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          <dc:title>On (1, epsilon)-Restricted Max-Min Fair Allocation Problem</dc:title>
          <dc:creator>Chan, T-H. Hubert</dc:creator>
          <dc:creator>Tang, Zhihao Gavin</dc:creator>
          <dc:creator>Wu, Xiaowei</dc:creator>
          <dc:subject>Max-Min Fair Allocation</dc:subject>
          <dc:subject>Hypergraph Matching</dc:subject>
          <dc:description>We study the max-min fair allocation problem in which a set of m indivisible items are to be distributed among n agents such that the minimum utility among all agents is maximized. In the restricted setting, the utility of each item j on agent i is either 0 or some non-negative weight w_j. For this setting, Asadpour et al. [TALG, 2012] showed that a certain configuration-LP can be used to estimate the optimal value within a factor of 4 + delta, for any delta &gt; 0, which was recently extended by Annamalai et al. [SODA 2015] to give a polynomial-time 13-approximation algorithm for the problem. For hardness results, Bezáková and Dani [SIGecom Exch., 2005] showed that it is NP-hard to approximate the problem within any ratio smaller than 2.&#13;
&#13;
In this paper we consider the (1, epsilon)-restricted max-min fair allocation problem, in which for some parameter epsilon in (0, 1), each item j is either heavy (w_j = 1) or light (w_j = epsilon). We show that the (1, epsilon)-restricted case is also NP-hard to approximate within any ratio smaller than 2. Hence, this simple special case is still algorithmically interesting.&#13;
&#13;
Using the configuration-LP, we are able to estimate the optimal value of the problem within a factor of 3 + delta, for any delta &gt; 0. Extending this idea, we also obtain a quasi-polynomial time (3 + 4 epsilon)-approximation algorithm and a polynomial time 9-approximation algorithm. Moreover, we show that as epsilon tends to 0, the approximation ratio of our polynomial-time algorithm approaches 3 + 2 sqrt{2} approx 5.83.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>T-H. Hubert Chan and Zhihao Gavin Tang and Xiaowei Wu</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 64, 27th International Symposium on Algorithms and Computation (ISAAC 2016)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2016.23</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-67939</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2016.23</dc:identifier>
          <dc:language>eng</dc:language>
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