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          <dc:title>Dividing Splittable Goods Evenly and With Limited Fragmentation</dc:title>
          <dc:creator>Damaschke, Peter</dc:creator>
          <dc:subject>packing</dc:subject>
          <dc:subject>load balancing</dc:subject>
          <dc:subject>weighted graph</dc:subject>
          <dc:subject>linear-time algorithm</dc:subject>
          <dc:subject>parameterized algorithm</dc:subject>
          <dc:description>A splittable good provided in n pieces shall be divided as evenly as possible among m agents, where every agent can take shares of at most F pieces. We call F the fragmentation. For F=1 we can solve the max-min and min-max problems in linear time. The case F=2 has neat formulations and structural characterizations in terms of weighted graphs. Here we focus on perfectly balanced solutions. While the problem is strongly NP-hard in general, it can be solved in linear time if m&gt;=n-1, and a solution always exists in this case. Moreover, case F=2 is fixed-parameter tractable in the parameter 2m-n. The results also give rise to various open problems.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Peter Damaschke</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 83, 42nd International Symposium on Mathematical Foundations of Computer Science (MFCS 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2017.9</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-80579</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2017.9</dc:identifier>
          <dc:language>eng</dc:language>
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