Grammar-compressed Self-index with Lyndon Words

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Authors Kazuya Tsuruta, Dominik KΓΆppl, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda arXiv ID 2004.05309 Category cs.DS: Data Structures & Algorithms Citations 10 Venue arXiv.org Last Checked 4 months ago
Abstract
We introduce a new class of straight-line programs (SLPs), named the Lyndon SLP, inspired by the Lyndon trees (Barcelo, 1990). Based on this SLP, we propose a self-index data structure of $O(g)$ words of space that can be built from a string $T$ in $O(n \lg n)$ expected time, retrieving the starting positions of all occurrences of a pattern $P$ of length $m$ in $O(m + \lg m \lg n + occ \lg g)$ time, where $n$ is the length of $T$, $g$ is the size of the Lyndon SLP for $T$, and $occ$ is the number of occurrences of $P$ in $T$.
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