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        <identifier>oai:drops-oai.dagstuhl.de:24554</identifier>
        <datestamp>2025-12-16T14:00:45Z</datestamp>
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          <dc:title>New Algorithms for Pigeonhole Equal Subset Sum</dc:title>
          <dc:creator>Jin, Ce</dc:creator>
          <dc:creator>Williams, Ryan</dc:creator>
          <dc:creator>Zhang, Stan</dc:creator>
          <dc:subject>pigeonhole principle</dc:subject>
          <dc:subject>subset sums</dc:subject>
          <dc:description>We study the Pigeonhole Equal Subset Sum problem, which is a total-search variant of the Subset Sum problem introduced by Papadimitriou (1994): we are given a set of n positive integers {w₁,…,w_n} with the additional restriction that ∑_{i=1}^n w_i &lt; 2ⁿ - 1, and want to find two different subsets A,B ⊆ [n] such that ∑_{i∈A} w_i = ∑_{i∈B} w_i.&#13;
Very recently, Jin and Wu (ICALP 2024) gave a randomized algorithm solving Pigeonhole Equal Subset Sum in O^*(2^{0.4n}) time, beating the classical meet-in-the-middle algorithm with O^*(2^{n/2}) runtime. In this paper, we refine Jin and Wu’s techniques to improve the runtime even further to O^*(2^{n/3}).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ce Jin and Ryan Williams and Stan Zhang</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 351, 33rd Annual European Symposium on Algorithms (ESA 2025)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2025.86</dc:identifier>
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          <dc:language>eng</dc:language>
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