Grammar-compressed Self-index with Lyndon Words

Kazuya Tsuruta, Dominik Köppl, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
JournalUnknown Journal
Publication statusPublished - Apr 11 2020

All Science Journal Classification (ASJC) codes

  • General

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