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Algorithmica

, Volume 75, Issue 1, pp 84–117 | Cite as

A Fast Algorithm for Permutation Pattern Matching Based on Alternating Runs

  • Marie-Louise Bruner
  • Martin Lackner
Article
First Online:
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Accepted:

Abstract

The NP-complete Permutation Pattern Matching problem asks whether a k-permutation P is contained in a n-permutation T as a pattern. This is the case if there exists an order-preserving embedding of P into T. In this paper, we present a fixed-parameter algorithm solving this problem with a worst-case runtime of \({\mathcal O}(1.79^{\mathsf {run}(T)}\cdot n\cdot k)\), where \(\mathsf {run}(T)\) denotes the number of alternating runs of T. This algorithm is particularly well-suited for instances where T has few runs, i.e., few ups and downs. Moreover, since \(\mathsf {run}(T)<n\), this can be seen as a \({\mathcal O}(1.79^{n}\cdot n\cdot k)\) algorithm which is the first to beat the exponential \(2^n\) runtime of brute-force search. Furthermore, we prove that under standard complexity theoretic assumptions such a fixed-parameter tractability result is not possible for \(\mathsf {run}(P)\).

Keywords

Permutation patterns Parameterized complexity Pattern matching Fixed-parameter tractability Exponential algorithms Combinatorics 
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Notes

Acknowledgments

We would like to thank the anonymous reviewers for their feedback and suggestions leading to numerous improvements of this paper. The first author was supported by the Austrian Science Foundation FWF, Grant P25337-N23, the second author by the Austrian Science Foundation FWF, Grant P25518-N23 and Y698.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Institute of Discrete Mathematics and GeometryVienna University of TechnologyViennaAustria
  2. 2.Institute of Information SystemsVienna University of TechnologyViennaAustria

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