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        <identifier>oai:drops-oai.dagstuhl.de:17583</identifier>
        <datestamp>2024-03-06T10:59:58Z</datestamp>
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          <dc:title>Characterizing the Multi-Pass Streaming Complexity for Solving Boolean CSPs Exactly</dc:title>
          <dc:creator>Kol, Gillat</dc:creator>
          <dc:creator>Paramonov, Dmitry</dc:creator>
          <dc:creator>Saxena, Raghuvansh R.</dc:creator>
          <dc:creator>Yu, Huacheng</dc:creator>
          <dc:subject>Streaming algorithms</dc:subject>
          <dc:subject>Constraint Satisfaction Problems</dc:subject>
          <dc:description>We study boolean constraint satisfaction problems (CSPs) Max-CSP^f_n for all predicates f: {0,1}^k → {0,1}. In these problems, given an integer v and a list of constraints over n boolean variables, each obtained by applying f to a sequence of literals, we wish to decide if there is an assignment to the variables that satisfies at least v constraints. We consider these problems in the streaming model, where the algorithm makes a small number of passes over the list of constraints.&#13;
Our first and main result is the following complete characterization: For every predicate f, the streaming space complexity of the Max-CSP^f_n problem is Θ̃(n^deg(f)), where deg(f) is the degree of f when viewed as a multilinear polynomial. While the upper bound is obtained by a (very simple) one-pass streaming algorithm, our lower bound shows that a better space complexity is impossible even with constant-pass streaming algorithms. &#13;
Building on our techniques, we are also able to get an optimal Ω(n²) lower bound on the space complexity of constant-pass streaming algorithms for the well studied Max-CUT problem, even though it is not technically a Max-CSP^f_n problem as, e.g., negations of variables and repeated constraints are not allowed.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Gillat Kol and Dmitry Paramonov and Raghuvansh R. Saxena and Huacheng Yu</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 251, 14th Innovations in Theoretical Computer Science Conference (ITCS 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2023.80</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-175837</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2023.80</dc:identifier>
          <dc:language>eng</dc:language>
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