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Titlebook: Combinatorial Pattern Matching; 25th Annual Symposiu Alexander S. Kulikov,Sergei O. Kuznetsov,Pavel Pev Conference proceedings 2014 Springe

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Compactness-Preserving Mapping on Trees,ance at most . to . in a graph .. We call this problem . (CPM). In the paper we study CPM with input graphs being trees and present a dichotomy of classical complexity with respect to different values of . and .. CPM on trees can be solved in polynomial time only if . ≤ 2 and . ≤ 1.
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‘Safety and Cybersecurity in a Digital Age’n of any substring of the text in . time, where . is the number of distinct factors in the decomposition. For the maximal suffix problem we give a linear-space structure with . query time and . preprocessing time, i.e., we manage to achieve both the optimal query and the optimal construction time simultaneously.
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https://doi.org/10.1007/978-3-030-28191-5 that allows us to efficiently find the next occurrence of a given character after a given position in a compressed string. This data structure in turn is based on a new data structure for the tree color problem, where the node colors are packed in bit strings.
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Velislava Simeonova,Kalina Milkovaof blocks they contain (a block being maximal substring such that all letters in the substring are equal), and the alphabet size Σ. For instance, we show that . and . are NP-hard even if the input strings have only . letter.
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https://doi.org/10.1007/978-3-662-62153-0lications in bioinformatics. In this paper we develop the first randomized parameterized algorithms for CSP. Not only are the randomized algorithms much simpler than their deterministic counterparts, their expected-time complexities are also significantly better than the previously best known (deterministic) algorithms.
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https://doi.org/10.1007/978-3-662-62153-0me is .((loglog.) log.), where . is the size of the alphabet..A byproduct of this paper is an Aho-Corasick automaton that can be constructed with only a compact working space, which is the first of its type to the best of our knowledge.
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On the Efficiency of the Hamming C-Centerstring Problems,a generalization is necessary for clustering. One needs to consider a partition into a number of sets, each with a distinct centerstring. In this paper we define two natural versions of the consensus problem for c centerstrings. We analyse the hardness and fixed parameter tractability of these probl
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