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        <datestamp>2024-03-06T10:38:55Z</datestamp>
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          <dc:title>Space-Time Trade-Offs for the Shortest Unique Substring Problem</dc:title>
          <dc:creator>Ganguly, Arnab</dc:creator>
          <dc:creator>Hon, Wing-Kai</dc:creator>
          <dc:creator>Shah, Rahul</dc:creator>
          <dc:creator>Thankachan, Sharma V.</dc:creator>
          <dc:subject>Suffix Tree</dc:subject>
          <dc:subject>Sparsification</dc:subject>
          <dc:subject>Rabin-Karp Fingerprint</dc:subject>
          <dc:subject>Probabilistic z-Fast Trie</dc:subject>
          <dc:subject>Succinct Data-Structures</dc:subject>
          <dc:description>Given a string X[1, n] and a position k in [1, n], the Shortest Unique Substring of X covering k, denoted by S_k, is a substring X[i, j] of X which satisfies the following conditions: (i) i leq k leq j, (ii) i is the only position where there is an occurrence of X[i, j], and (iii) j - i is minimized. The best-known algorithm [Hon et al., ISAAC 2015] can find S k for all k in [1, n] in time O(n) using the string X and additional 2n words of working space. Let tau be a given parameter. We present the following new results. For any given k in [1, n], we can compute S_k via a deterministic algorithm in O(n tau^2 log n tau) time using X and additional O(n/tau) words of working space. For every k in [1, n], we can compute S_k via a deterministic algorithm in O(n tau^2 log n/tau) time using X and additional O(n/tau) words and 4n + o(n) bits of working space. For both problems above, we present an O(n tau log^{c+1} n)-time randomized algorithm that uses n/ log c n words in addition to that mentioned above, where c geq 0 is an arbitrary constant. In this case, the reported string is unique and covers k, but with probability at most n^{-O(1)} , may not be the shortest. As a consequence of our techniques, we also obtain similar space-and-time tradeoffs for a related problem of finding Maximal Unique Matches of two strings [Delcher et al., Nucleic Acids Res. 1999].</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Arnab Ganguly and Wing-Kai Hon and Rahul Shah and Sharma V. Thankachan</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 64, 27th International Symposium on Algorithms and Computation (ISAAC 2016)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2016.34</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-68041</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2016.34</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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