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        <datestamp>2025-10-02T12:57:22Z</datestamp>
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          <dc:title>Deterministic Independent Sets in the Semi-Streaming Model</dc:title>
          <dc:creator>Ye, Daniel</dc:creator>
          <dc:subject>Sublinear Algorithms</dc:subject>
          <dc:subject>Derandomization</dc:subject>
          <dc:subject>Semi-Streaming Algorithms</dc:subject>
          <dc:description>We consider the independent set problem in the semi-streaming model. For any input graph G = (V, E) with n vertices, an independent set is a set of vertices with no edges between any two elements. In the semi-streaming model, G is presented as a stream of edges and any algorithm must use Õ(n) bits of memory to output a large independent set at the end of the stream.&#13;
&#13;
Prior work has designed various semi-streaming algorithms for finding independent sets. Due to the hardness of finding maximum and maximal independent sets in the semi-streaming model, the focus has primarily been on finding independent sets in terms of certain parameters, such as the maximum degree Δ. In particular, there is a simple randomized algorithm that obtains independent sets of size n/(Δ+1) in expectation, which can also be achieved with high probability using more complicated algorithms. For deterministic algorithms, the best bounds are significantly weaker. The best we know is a straightforward algorithm that finds an Ω̃(n/(Δ²)) size independent set.&#13;
&#13;
We show that this straightforward algorithm is nearly optimal by proving that any deterministic semi-streaming algorithm can only output an Õ(n/(Δ²)) size independent set. Our result proves a strong separation between the power of deterministic and randomized semi-streaming algorithms for the independent set problem.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Daniel Ye</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 334, 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2025.135</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-235129</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2025.135</dc:identifier>
          <dc:language>eng</dc:language>
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