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Kernels: Annotated, Proper and Induced

  • Faisal N. Abu-Khzam
  • Henning Fernau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4169)

Abstract

The notion of a “problem kernel” plays a central role in the design of fixed-parameter algorithms. The \(\mathcal{FPT}\) literature is rich in kernelization algorithms that exhibit fundamentally different approaches. We highlight these differences and discuss several generalizations and restrictions of the standard notion.

Keywords

Master Problem Vertex Cover Parameterized Problem Kernel Size Reduction Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Faisal N. Abu-Khzam
    • 1
  • Henning Fernau
    • 2
  1. 1.Division of Comp.Sci. & Math.Lebanese American UniversityBeirutLebanon
  2. 2.FB 4—Abteilung InformatikUniversität TrierTrierGermany

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