2026-07-21T14:16:54Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:13965 2024-03-06T10:53:01Z ddc:004 open_access

The Longest Run Subsequence Problem: Further Complexity Results Dondi, Riccardo Sikora, Florian Parameterized complexity Kernelization Approximation Hardness Longest Subsequence Longest Run Subsequence is a problem introduced recently in the context of the scaffolding phase of genome assembly (Schrinner et al., WABI 2020). The problem asks for a maximum length subsequence of a given string that contains at most one run for each symbol (a run is a maximum substring of consecutive identical symbols). The problem has been shown to be NP-hard and to be fixed-parameter tractable when the parameter is the size of the alphabet on which the input string is defined. In this paper we further investigate the complexity of the problem and we show that it is fixed-parameter tractable when it is parameterized by the number of runs in a solution, a smaller parameter. Moreover, we investigate the kernelization complexity of Longest Run Subsequence and we prove that it does not admit a polynomial kernel when parameterized by the size of the alphabet or by the number of runs. Finally, we consider the restriction of Longest Run Subsequence when each symbol has at most two occurrences in the input string and we show that it is APX-hard. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Riccardo Dondi and Florian Sikora 2021 Is Part Of LIPIcs, Volume 191, 32nd Annual Symposium on Combinatorial Pattern Matching (CPM 2021) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.CPM.2021.14 urn:nbn:de:0030-drops-139652 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CPM.2021.14 eng https://creativecommons.org/licenses/by/4.0/legalcode