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  • Titel: Subsequences with Generalised Gap Constraints: Upper and Lower Complexity Bounds
  • Beteiligte: Manea, Florin [Verfasser:in]; Richardsen, Jonas [Verfasser:in]; Schmid, Markus L. [Verfasser:in]
  • Erschienen: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024
  • Sprache: Englisch
  • DOI: https://doi.org/10.4230/LIPIcs.CPM.2024.22
  • Schlagwörter: pattern matching ; subsequences with gap constraints ; parameterised complexity ; conditional lower bounds ; String algorithms ; fine-grained complexity
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  • Beschreibung: For two strings u, v over some alphabet A, we investigate the problem of embedding u into w as a subsequence under the presence of generalised gap constraints. A generalised gap constraint is a triple (i, j, C_{i, j}), where 1 ≤ i < j ≤ |u| and C_{i, j} ⊆ A^*. Embedding u as a subsequence into v such that (i, j, C_{i, j}) is satisfied means that if u[i] and u[j] are mapped to v[k] and v[𝓁], respectively, then the induced gap v[k + 1.𝓁 - 1] must be a string from C_{i, j}. This generalises the setting recently investigated in [Day et al., ISAAC 2022], where only gap constraints of the form C_{i, i + 1} are considered, as well as the setting from [Kosche et al., RP 2022], where only gap constraints of the form C_{1, |u|} are considered. We show that subsequence matching under generalised gap constraints is NP-hard, and we complement this general lower bound with a thorough (parameterised) complexity analysis. Moreover, we identify several efficiently solvable subclasses that result from restricting the interval structure induced by the generalised gap constraints.
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