Linear pattern matching on sparse suffix trees

Abstract

Packing several characters into one computer word is a simple and natural way to compress the representation of a string and to speed up its processing. Exploiting this idea, we propose an index for a packed string, based on a {\em sparse suffix tree} \cite{KU-96} with appropriately defined suffix links. Assuming, under the standard unit-cost RAM model, that a word can store up to ${\log }_{\sigma }n$ characters ($\sigma$ the alphabet size), our index takes $O(n/{\log }_{\sigma }n)$ space, i.e. the same space as the packed string itself. The resulting pattern matching algorithm runs in time $O(m+r^2+r\cdot occ)$, where $m$ is the length of the pattern, $r$ is the actual number of characters stored in a word and $occ$ is the number of pattern occurrences.

References in corpus (1)

• Fast Searching in Packed Strings

Cited by in corpus (1)

• Packed Compact Tries: A Fast and Efficient Data Structure for Online String Processing