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<titleInfo><title>Linear-time MaxCut in multigraphs parameterized above the Poljak-Turzík bound</title></titleInfo>

  
  
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<name type="personal">
  <namePart type="given">Jonas</namePart>
  <namePart type="family">Lill</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Kalina H</namePart>
  <namePart type="family">Petrova</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">554ff4e4-f325-11ee-b0c4-a10dbd523381</identifier></name>
<name type="personal">
  <namePart type="given">Simon</namePart>
  <namePart type="family">Weber</namePart>
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  <identifier type="local">MaKw</identifier>
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<name type="conference">
  <namePart>IPEC: Symposium on Parameterized and Exact Computation</namePart>
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  <namePart>IST-BRIDGE: International postdoctoral program</namePart>
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<abstract lang="eng">MaxCut is a classical NP-complete problem and a crucial building block in many combinatorial algorithms. The famous Edwards-Erdős bound states that any connected graph on n vertices with m edges contains a cut of size at least m/2+(n-1)/4. Crowston, Jones and Mnich [Algorithmica, 2015] showed that the MaxCut problem on simple connected graphs admits an FPT algorithm, where the parameter k is the difference between the desired cut size c and the lower bound given by the Edwards-Erdős bound. This was later improved by Etscheid and Mnich [Algorithmica, 2017] to run in parameterized linear time, i.e., f(k)⋅ O(m). We improve upon this result in two ways: Firstly, we extend the algorithm to work also for multigraphs (alternatively, graphs with positive integer weights). Secondly, we change the parameter; instead of the difference to the Edwards-Erdős bound, we use the difference to the Poljak-Turzík bound. The Poljak-Turzík bound states that any weighted graph G has a cut of size at least (w(G))/2+(w_MSF(G))/4, where w(G) denotes the total weight of G, and w_MSF(G) denotes the weight of its minimum spanning forest. In connected simple graphs the two bounds are equivalent, but for multigraphs the Poljak-Turzík bound can be larger and thus yield a smaller parameter k. Our algorithm also runs in parameterized linear time, i.e., f(k)⋅ O(m+n).</abstract>

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<originInfo><publisher>Schloss Dagstuhl - Leibniz-Zentrum für Informatik</publisher><dateIssued encoding="w3cdtf">2024</dateIssued><place><placeTerm type="text">Egham, United Kingdom</placeTerm></place>
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<relatedItem type="host"><titleInfo><title>19th International Symposium on Parameterized and Exact Computation</title></titleInfo>
  <identifier type="issn">1868-8969</identifier>
  <identifier type="isbn">9783959773539</identifier>
  <identifier type="arXiv">2407.01071</identifier>
  <identifier type="ISI">001534851900002</identifier><identifier type="doi">10.4230/LIPIcs.IPEC.2024.2</identifier>
<part><detail type="volume"><number>321</number></detail>
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<short>J. Lill, K.H. Petrova, S. Weber, in:, 19th International Symposium on Parameterized and Exact Computation, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024.</short>
<ieee>J. Lill, K. H. Petrova, and S. Weber, “Linear-time MaxCut in multigraphs parameterized above the Poljak-Turzík bound,” in &lt;i&gt;19th International Symposium on Parameterized and Exact Computation&lt;/i&gt;, Egham, United Kingdom, 2024, vol. 321.</ieee>
<ama>Lill J, Petrova KH, Weber S. Linear-time MaxCut in multigraphs parameterized above the Poljak-Turzík bound. In: &lt;i&gt;19th International Symposium on Parameterized and Exact Computation&lt;/i&gt;. Vol 321. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2024. doi:&lt;a href=&quot;https://doi.org/10.4230/LIPIcs.IPEC.2024.2&quot;&gt;10.4230/LIPIcs.IPEC.2024.2&lt;/a&gt;</ama>
<apa>Lill, J., Petrova, K. H., &amp;#38; Weber, S. (2024). Linear-time MaxCut in multigraphs parameterized above the Poljak-Turzík bound. In &lt;i&gt;19th International Symposium on Parameterized and Exact Computation&lt;/i&gt; (Vol. 321). Egham, United Kingdom: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. &lt;a href=&quot;https://doi.org/10.4230/LIPIcs.IPEC.2024.2&quot;&gt;https://doi.org/10.4230/LIPIcs.IPEC.2024.2&lt;/a&gt;</apa>
<chicago>Lill, Jonas, Kalina H Petrova, and Simon Weber. “Linear-Time MaxCut in Multigraphs Parameterized above the Poljak-Turzík Bound.” In &lt;i&gt;19th International Symposium on Parameterized and Exact Computation&lt;/i&gt;, Vol. 321. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024. &lt;a href=&quot;https://doi.org/10.4230/LIPIcs.IPEC.2024.2&quot;&gt;https://doi.org/10.4230/LIPIcs.IPEC.2024.2&lt;/a&gt;.</chicago>
<ista>Lill J, Petrova KH, Weber S. 2024. Linear-time MaxCut in multigraphs parameterized above the Poljak-Turzík bound. 19th International Symposium on Parameterized and Exact Computation. IPEC: Symposium on Parameterized and Exact Computation, LIPIcs, vol. 321, 2.</ista>
<mla>Lill, Jonas, et al. “Linear-Time MaxCut in Multigraphs Parameterized above the Poljak-Turzík Bound.” &lt;i&gt;19th International Symposium on Parameterized and Exact Computation&lt;/i&gt;, vol. 321, 2, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024, doi:&lt;a href=&quot;https://doi.org/10.4230/LIPIcs.IPEC.2024.2&quot;&gt;10.4230/LIPIcs.IPEC.2024.2&lt;/a&gt;.</mla>
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