Kernelization

Results: 67



#Item
1Lower bounds for polynomial kernelization Michal Pilipczuk Institute of Informatics, University of Warsaw, Poland  Parameterized Complexity Summer School

Lower bounds for polynomial kernelization Michal Pilipczuk Institute of Informatics, University of Warsaw, Poland Parameterized Complexity Summer School

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Source URL: algo2017.ac.tuwien.ac.at

Language: English - Date: 2017-09-02 11:43:44
    2Kernelization using structural parameters on sparse graph classes ˇ 1 Jan Obdržálek1 Jakub Gajarský1 Petr Hlinený 1 Sebastian Ordyniak

    Kernelization using structural parameters on sparse graph classes ˇ 1 Jan Obdržálek1 Jakub Gajarský1 Petr Hlinený 1 Sebastian Ordyniak

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    Source URL: tcs.rwth-aachen.de

    Language: English - Date: 2013-04-22 06:45:46
      3Kernelization: The basics  Bart M. P. Jansen Parameterized Complexity Summer School @ Vienna September 2nd 2017, Vienna, Austria

      Kernelization: The basics Bart M. P. Jansen Parameterized Complexity Summer School @ Vienna September 2nd 2017, Vienna, Austria

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      Source URL: algo2017.ac.tuwien.ac.at

      Language: English - Date: 2017-09-02 11:44:36
        4Fixed-parameter tractability of multicut parameterized by the size of the cutset Dániel Marx Humboldt-Universität zu Berlin (Joint work with Igor Razgon) WorKer 2010: Workshop on Kernelization

        Fixed-parameter tractability of multicut parameterized by the size of the cutset Dániel Marx Humboldt-Universität zu Berlin (Joint work with Igor Razgon) WorKer 2010: Workshop on Kernelization

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        Source URL: www.cs.bme.hu

        Language: English - Date: 2010-11-15 05:34:17
          5Kernelization via Sampling with Applications to Finding Matchings and Related Problems in Dynamic Graph Streams Rajesh Chitnis∗ Graham Cormode† Hossein Esfandiari‡ §

          Kernelization via Sampling with Applications to Finding Matchings and Related Problems in Dynamic Graph Streams Rajesh Chitnis∗ Graham Cormode† Hossein Esfandiari‡ §

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          Source URL: dimacs.rutgers.edu

          - Date: 2015-11-08 11:21:35
            6Meta-kernelization using Well-structured Modulators∗ Eduard Eiben, Robert Ganian, and Stefan Szeider Algorithms and Complexity Group, TU Wien Vienna, Austria

            Meta-kernelization using Well-structured Modulators∗ Eduard Eiben, Robert Ganian, and Stefan Szeider Algorithms and Complexity Group, TU Wien Vienna, Austria

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            Source URL: drops.dagstuhl.de

            - Date: 2015-11-09 10:22:02
              7CS264: Homework #4 Due by midnight on Wednesday, October 22, 2014 Instructions: (1) Form a group of 1-3 students. You should turn in only one write-up for your entire group. (2) Turn in your solutions at http://rishig.sc

              CS264: Homework #4 Due by midnight on Wednesday, October 22, 2014 Instructions: (1) Form a group of 1-3 students. You should turn in only one write-up for your entire group. (2) Turn in your solutions at http://rishig.sc

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              Source URL: theory.stanford.edu

              Language: English - Date: 2014-10-16 11:28:02
              8Colloquium Department of Computer Science Dr. Darren Strash Darren graduated in 2011 with a PhD in Computer Science from University of California, Irvine, with Mike Goodrich and David Eppstein as advisors. After graduati

              Colloquium Department of Computer Science Dr. Darren Strash Darren graduated in 2011 with a PhD in Computer Science from University of California, Irvine, with Mike Goodrich and David Eppstein as advisors. After graduati

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              Source URL: www.cs.siu.edu

              Language: English - Date: 2015-11-12 17:19:02
              9What’s next? Reductions other than kernelization Dániel Marx Humboldt-Universität zu Berlin  (with help from Fedor Fomin,

              What’s next? Reductions other than kernelization Dániel Marx Humboldt-Universität zu Berlin (with help from Fedor Fomin,

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              Source URL: www.cs.bme.hu

              Language: English - Date: 2010-11-15 05:34:29
                10Kernelization Through Tidying---A Case Study Based on s-Plex Cluster Vertex Deletion

                Kernelization Through Tidying---A Case Study Based on s-Plex Cluster Vertex Deletion

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                Source URL: theinf1.informatik.uni-jena.de

                Language: English - Date: 2010-03-21 11:03:04