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        <identifier>oai:drops-oai.dagstuhl.de:8271</identifier>
        <datestamp>2024-03-06T10:41:52Z</datestamp>
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          <dc:title>Optimal Matroid Partitioning Problems</dc:title>
          <dc:creator>Kawase, Yasushi</dc:creator>
          <dc:creator>Kimura, Kei</dc:creator>
          <dc:creator>Makino, Kazuhisa</dc:creator>
          <dc:creator>Sumita, Hanna</dc:creator>
          <dc:subject>Matroids</dc:subject>
          <dc:subject>Partitioning problem</dc:subject>
          <dc:subject>PTAS</dc:subject>
          <dc:subject>NP-hardness</dc:subject>
          <dc:description>This paper studies optimal matroid partitioning problems for various objective functions. In the problem, we are given a finite set E and k weighted matroids (E, \mathcal{I}_i, w_i), i = 1, \dots, k, and our task is to find a minimum partition (I_1,\dots,I_k) of E such that I_i \in \mathcal{I}_i for all i. For each objective function, we give a polynomial-time algorithm or prove NP-hardness. In particular, for the case when the given weighted matroids are identical and the objective function is the sum of the maximum weight in each set (i.e., \sum_{i=1}^k\max_{e\in I_i}w_i(e)), we show that the problem is strongly NP-hard but admits a PTAS.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Yasushi Kawase and Kei Kimura and Kazuhisa Makino and Hanna Sumita</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 92, 28th International Symposium on Algorithms and Computation (ISAAC 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2017.51</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-82712</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2017.51</dc:identifier>
          <dc:language>eng</dc:language>
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