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        <identifier>oai:drops-oai.dagstuhl.de:18836</identifier>
        <datestamp>2024-03-06T11:02:41Z</datestamp>
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          <dc:title>Approximating Red-Blue Set Cover and Minimum Monotone Satisfying Assignment</dc:title>
          <dc:creator>Chlamtáč, Eden</dc:creator>
          <dc:creator>Makarychev, Yury</dc:creator>
          <dc:creator>Vakilian, Ali</dc:creator>
          <dc:subject>Red-Blue Set Cover Problem</dc:subject>
          <dc:subject>Circuit Minimum Monotone Satisfying Assignment (MMSA) Problem</dc:subject>
          <dc:subject>LP Rounding</dc:subject>
          <dc:description>We provide new approximation algorithms for the Red-Blue Set Cover and Circuit Minimum Monotone Satisfying Assignment (MMSA) problems. Our algorithm for Red-Blue Set Cover achieves Õ(m^{1/3})-approximation improving on the Õ(m^{1/2})-approximation due to Elkin and Peleg (where m is the number of sets). Our approximation algorithm for MMSA_t (for circuits of depth t) gives an Õ(N^{1-δ}) approximation for δ = 1/32^{3-⌈t/2⌉}, where N is the number of gates and variables. No non-trivial approximation algorithms for MMSA_t with t ≥ 4 were previously known.&#13;
We complement these results with lower bounds for these problems: For Red-Blue Set Cover, we provide a nearly approximation preserving reduction from Min k-Union that gives an ̃Ω(m^{1/4 - ε}) hardness under the Dense-vs-Random conjecture, while for MMSA we sketch a proof that an SDP relaxation strengthened by Sherali-Adams has an integrality gap of N^{1-ε} where ε → 0 as the circuit depth t → ∞.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Eden Chlamtáč and Yury Makarychev and Ali Vakilian</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 275, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2023.11</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-188366</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2023.11</dc:identifier>
          <dc:language>eng</dc:language>
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