In this paper we investigate the parameterized complexity of the Maximum-Duo Preservation String Mapping Problem, the complementary of the Minimum Common String Partition Problem. We show that this problem is fixed-parameter tractable when parameterized by the number k of conserved duos, by first giving a parameterized algorithm based on the color-coding technique and then presenting a reduction to a kernel of size O(k6).

Beretta, S., Castelli, M., Dondi, R. (2016). Parameterized tractability of the maximum-duo preservation string mapping problem. THEORETICAL COMPUTER SCIENCE, 646, 16-25 [10.1016/j.tcs.2016.07.011].

Parameterized tractability of the maximum-duo preservation string mapping problem

BERETTA, STEFANO
Primo
;
CASTELLI, MAURO
Secondo
;
2016

Abstract

In this paper we investigate the parameterized complexity of the Maximum-Duo Preservation String Mapping Problem, the complementary of the Minimum Common String Partition Problem. We show that this problem is fixed-parameter tractable when parameterized by the number k of conserved duos, by first giving a parameterized algorithm based on the color-coding technique and then presenting a reduction to a kernel of size O(k6).
Articolo in rivista - Articolo scientifico
Common string partition; Computational biology; Kernelization; Parameterized algorithms;
Common string partition; Computational biology; Kernelization; Parameterized algorithms; Theoretical Computer Science; Computer Science (all)
English
2016
646
16
25
open
Beretta, S., Castelli, M., Dondi, R. (2016). Parameterized tractability of the maximum-duo preservation string mapping problem. THEORETICAL COMPUTER SCIENCE, 646, 16-25 [10.1016/j.tcs.2016.07.011].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/174092
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