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On Problems without Polynomial Kernels (Extended Abstract)

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Automata, Languages and Programming (ICALP 2008)

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Abstract

Kernelization is a central technique used in parameterized algorithms, and in other approaches for coping with NP-hard problems. In this paper, we introduce a new method which allows us to show that many problems do not have polynomial size kernels under reasonable complexity-theoretic assumptions. These problems include k -Path, k -Cycle, k -Exact Cycle, k -Short Cheap Tour, k -Graph Minor Order Test, k -Cutwidth, k -Search Number, k -Pathwidth, k -Treewidth, k -Branchwidth, and several optimization problems parameterized by treewidth or cliquewidth.

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Bodlaender, H.L., Downey, R.G., Fellows, M.R., Hermelin, D. (2008). On Problems without Polynomial Kernels (Extended Abstract). In: Aceto, L., Damgård, I., Goldberg, L.A., Halldórsson, M.M., Ingólfsdóttir, A., Walukiewicz, I. (eds) Automata, Languages and Programming. ICALP 2008. Lecture Notes in Computer Science, vol 5125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70575-8_46

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  • DOI: https://doi.org/10.1007/978-3-540-70575-8_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70574-1

  • Online ISBN: 978-3-540-70575-8

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