Faster Sparse Suffix Sorting

Authors Tomohiro I, Juha Kärkkäinen, Dominik Kempa

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Tomohiro I
Juha Kärkkäinen
Dominik Kempa

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Tomohiro I, Juha Kärkkäinen, and Dominik Kempa. Faster Sparse Suffix Sorting. In 31st International Symposium on Theoretical Aspects of Computer Science (STACS 2014). Leibniz International Proceedings in Informatics (LIPIcs), Volume 25, pp. 386-396, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)


The sparse suffix sorting problem is to sort b=o(n) arbitrary suffixes of a string of length n using o(n) words of space in addition to the string. We present an O(n) time Monte Carlo algorithm using O(b.log(b)) space and an O(n.log(b)) time Las Vegas algorithm using O(b) space. This is a significant improvement over the best prior solutions of [Bille et al., ICALP 2013]: a Monte Carlo algorithm running in O(n.log(b)) time and O(b^(1+e)) space or O(n.log^2(b)) time and O(b) space, and a Las Vegas algorithm running in O(n.log^2(b)+b^2.log(b)) time and O(b) space. All the above results are obtained with high probability not just in expectation.
  • string algorithms
  • sparse suffix sorting
  • sparse suffix trees
  • Karp-Rabin fingerprints
  • space-time tradeoffs


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