Titlebook: Combinatorial Pattern Matching; 10th Annual Symposiu Maxime Crochemore,Mike Paterson Conference proceedings 1999 Springer-Verlag Berlin Hei

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https://doi.org/10.1007/3-540-48452-3Combinatorics; Complexity; DNA/RNA; Matching Algorithms; Pattern Matching; Sequences; data compression; pat

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Smart Innovation in Agriculturelgorithm is indeed fast when a pattern length is at most 32, or the word length. After an .(. + |.|) time and .(|.|) space preprocessing of a pattern, it scans an LZW compressed text in .(. + .) time and reports all occurrences of the pattern, where n is the compressed text length, . is the pattern

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Anurag Kumar Verma,Saurabh Pal,Surjeet Kumaryze an algorithmic strategy. We are following the research avenue proposed by Karp [9] on modeling the problem as a combinatorial problem - the Hypergraph Superstring Problem - intimately related to the Lander-Waterman stochastic model [16]. We show that a sparse version of the problem is MAXSNP-com

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Adityan Jothi,Shrinivas Jayarames.We allow the use of either of the two popular objectives, Tree Alignment or Sum-of-Pairs. The main distinguishing feature of our method is that the alignment is obtained via a tree in which the internal nodes (ancestors) are labeled by Steiner sequences for triples of the input sequences. Given l