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Faster Subsequence Recognition in Compressed Strings

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Tiskin, Alexander. (2009) Faster Subsequence Recognition in Compressed Strings. Journal of Mathematical Sciences, 158 (5). pp. 759-769. ISSN 1072-3374

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Official URL: http://dx.doi.org/10.1007/s10958-009-9396-0

Abstract

Computation on compressed strings is one of the key approaches to processing massive data sets. We consider local subsequence recognition problems on strings compressed by straight-line programs (SLP), which is closely related to Lempel–Ziv compression. For an SLP-compressed text of length $\overline{m}$ , and an uncompressed pattern of length n, Cégielski et al. gave an algorithm for local subsequence recognition running in time $O\left( {\overline{m} n^2 \log n}\right)$. We improve the running time to $O\left( {\overline{m} n^{1.5} }\right)$. Our algorithm can also be used to compute the longest common subsequence between a compressed text and an uncompressed pattern in time $O\left( {\overline{m} n^{1.5} }\right)$; the same problem with a compressed pattern is known to be NP-hard.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Journal or Publication Title: Journal of Mathematical Sciences
Publisher: Springer Verlag
ISSN: 1072-3374
Date: 2009
Volume: 158
Number: 5
Page Range: pp. 759-769
Identification Number: 10.1007/s10958-009-9396-0
Publication Status: Published
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URI: http://wrap.warwick.ac.uk/id/eprint/47559

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