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Publications in Scientific Journals:

M. Bruner, M. Lackner:
"A Fast Algorithm for Permutation Pattern Matching Based on Alternating Runs";
Algorithmica (online), online (2015), 34 pages.



English 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 O(1.79 run(T) ⋅n⋅k) , where 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 run(T)<n , this can be seen as a O(1.79 n ⋅n⋅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 run(P) .

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


Related Projects:
Project Head Stefan Woltran:
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Created from the Publication Database of the Vienna University of Technology.