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        <identifier>oai:drops-oai.dagstuhl.de:10219</identifier>
        <datestamp>2024-03-06T10:44:17Z</datestamp>
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          <dc:title>Multi-Budgeted Directed Cuts</dc:title>
          <dc:creator>Kratsch, Stefan</dc:creator>
          <dc:creator>Li, Shaohua</dc:creator>
          <dc:creator>Marx, Dániel</dc:creator>
          <dc:creator>Pilipczuk, Marcin</dc:creator>
          <dc:creator>Wahlström, Magnus</dc:creator>
          <dc:subject>important separators</dc:subject>
          <dc:subject>multi-budgeted cuts</dc:subject>
          <dc:subject>Directed Feedback Vertex Set</dc:subject>
          <dc:subject>fixed-parameter tractability</dc:subject>
          <dc:subject>minimum cut</dc:subject>
          <dc:description>In this paper, we study multi-budgeted variants of the classic minimum cut problem and graph separation problems that turned out to be important in parameterized complexity: Skew Multicut and Directed Feedback Arc Set. In our generalization, we assign colors 1,2,...,l to some edges and give separate budgets k_1,k_2,...,k_l for colors 1,2,...,l. For every color i in {1,...,l}, let E_i be the set of edges of color i. The solution C for the multi-budgeted variant of a graph separation problem not only needs to satisfy the usual separation requirements (i.e., be a cut, a skew multicut, or a directed feedback arc set, respectively), but also needs to satisfy that |C cap E_i| &lt;= k_i for every i in {1,...,l}.
Contrary to the classic minimum cut problem, the multi-budgeted variant turns out to be NP-hard even for l = 2. We propose FPT algorithms parameterized by k=k_1 +...+ k_l for all three problems. To this end, we develop a branching procedure for the multi-budgeted minimum cut problem that measures the progress of the algorithm not by reducing k as usual, by but elevating the capacity of some edges and thus increasing the size of maximum source-to-sink flow. Using the fact that a similar strategy is used to enumerate all important separators of a given size, we merge this process with the flow-guided branching and show an FPT bound on the number of (appropriately defined) important multi-budgeted separators. This allows us to extend our algorithm to the Skew Multicut and Directed Feedback Arc Set problems.
Furthermore, we show connections of the multi-budgeted variants with weighted variants of the directed cut problems and the Chain l-SAT problem, whose parameterized complexity remains an open problem. We show that these problems admit a bounded-in-parameter number of "maximally pushed" solutions (in a similar spirit as important separators are maximally pushed), giving somewhat weak evidence towards their tractability.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Stefan Kratsch and Shaohua Li and Dániel Marx and Marcin Pilipczuk and Magnus Wahlström</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 115, 13th International Symposium on Parameterized and Exact Computation (IPEC 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
          <dc:type>publishedVersion</dc:type>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2018.18</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-102194</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2018.18</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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