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        <datestamp>2026-02-09T08:02:31Z</datestamp>
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          <dc:title>Approximation Schemes for k-Subset Sum Ratio and k-Way Number Partitioning Ratio</dc:title>
          <dc:creator>Kanellopoulos, Sotiris</dc:creator>
          <dc:creator>Mitropoulos, Giorgos</dc:creator>
          <dc:creator>Antonopoulos, Antonis</dc:creator>
          <dc:creator>Leonardos, Nikos</dc:creator>
          <dc:creator>Pagourtzis, Aris</dc:creator>
          <dc:creator>Pergaminelis, Christos</dc:creator>
          <dc:creator>Petsalakis, Stavros</dc:creator>
          <dc:creator>Tsitouras, Kanellos</dc:creator>
          <dc:subject>Fully polynomial-time approximation schemes</dc:subject>
          <dc:subject>Subset Sum Ratio</dc:subject>
          <dc:subject>Number Partitioning</dc:subject>
          <dc:subject>Fair division</dc:subject>
          <dc:subject>Envy minimization</dc:subject>
          <dc:subject>Pseudo-polynomial time algorithms</dc:subject>
          <dc:description>The Subset Sum Ratio problem (SSR) asks, given a multiset A of positive integers, to find two disjoint subsets of A such that the largest-to-smallest ratio of their sums is minimized. In this paper we study the k-version of SSR, namely k-Subset Sum Ratio (k-SSR), which asks to minimize the largest-to-smallest ratio of sums of k disjoint subsets of A. We develop an approximation scheme for k-SSR running in O(n^{2k}/ε^{k-1}) time, where n = |A| and ε is the error parameter. To the best of our knowledge, this is the first FPTAS for k-SSR for fixed k &gt; 2.&#13;
We also study the k-way Number Partitioning Ratio (k-PART) problem, which differs from k-SSR in that the k subsets must constitute a partition of A; this problem in fact corresponds to the objective of minimizing the largest-to-smallest sum ratio in the family of Multiway Number Partitioning problems. We present a more involved FPTAS for k-PART, also achieving O(n^{2k}/ε^{k-1}) time complexity. Notably, k-PART is also equivalent to the Minimum Envy-Ratio problem with identical valuation functions, which has been studied in the context of fair division of indivisible goods. Thus, for the case of identical valuations, our FPTAS represents a significant improvement over the O(n^{4k²+1}/ε^{2k²}) bound obtained by Nguyen and Rothe’s FPTAS [Trung Thanh Nguyen and Jörg Rothe, 2014] for Minimum Envy-Ratio with general additive valuations.&#13;
Lastly, we propose a second FPTAS for k-SSR, which employs carefully designed calls to the first one; the new scheme has a time complexity of Õ(n/ε^{3k-1}), thus being much faster when n≫ 1/ ε.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Sotiris Kanellopoulos and Giorgos Mitropoulos and Antonis Antonopoulos and Nikos Leonardos and Aris Pagourtzis and Christos Pergaminelis and Stavros Petsalakis and Kanellos Tsitouras</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 359, 36th International Symposium on Algorithms and Computation (ISAAC 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2025.44</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-249521</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2025.44</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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