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        <identifier>oai:drops-oai.dagstuhl.de:22139</identifier>
        <datestamp>2024-12-04T06:53:43Z</datestamp>
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          <dc:title>Partitioning Problems with Splittings and Interval Targets</dc:title>
          <dc:creator>Bismuth, Samuel</dc:creator>
          <dc:creator>Makarov, Vladislav</dc:creator>
          <dc:creator>Segal-Halevi, Erel</dc:creator>
          <dc:creator>Shapira, Dana</dc:creator>
          <dc:subject>Number Partitioning</dc:subject>
          <dc:subject>Fair Division</dc:subject>
          <dc:subject>Identical Machine Scheduling</dc:subject>
          <dc:description>The n-way number partitioning problem is a classic problem in combinatorial optimization, with applications to diverse settings such as fair allocation and machine scheduling. All these problems are NP-hard, but various approximation algorithms are known. We consider three closely related kinds of approximations.&#13;
The first two variants optimize the partition such that: in the first variant some fixed number s of items can be split between two or more bins and in the second variant we allow at most a fixed number t of splittings. The third variant is a decision problem: the largest bin sum must be within a pre-specified interval, parameterized by a fixed rational number u times the largest item size.&#13;
When the number of bins n is unbounded, we show that every variant is strongly NP-complete. When the number of bins n is fixed, the running time depends on the fixed parameters s,t,u. For each variant, we give a complete picture of its running time.&#13;
For n = 2, the running time is easy to identify. Our main results consider any fixed integer n ≥ 3. Using a two-way polynomial-time reduction between the first and the third variant, we show that n-way number-partitioning with s split items can be solved in polynomial time if s ≥ n-2, and it is NP-complete otherwise. Also, n-way number-partitioning with t splittings can be solved in polynomial time if t ≥ n-1, and it is NP-complete otherwise. Finally, we show that the third variant can be solved in polynomial time if u ≥ (n-2)/n, and it is NP-complete otherwise. Our positive results for the optimization problems consider both min-max and max-min versions.&#13;
Using the same reduction, we provide a fully polynomial-time approximation scheme for the case where the number of split items is lower than n-2.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Samuel Bismuth and Vladislav Makarov and Erel Segal-Halevi and Dana Shapira</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 322, 35th International Symposium on Algorithms and Computation (ISAAC 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2024.12</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-221394</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2024.12</dc:identifier>
          <dc:language>eng</dc:language>
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