TY - JOUR

T1 - Faster Lyndon factorization algorithms for SLP and LZ78 compressed text

AU - I, Tomohiro

AU - Nakashima, Yuto

AU - Inenaga, Shunsuke

AU - Bannai, Hideo

AU - Takeda, Masayuki

N1 - Publisher Copyright:
© 2016 Elsevier B.V.

PY - 2016/12/20

Y1 - 2016/12/20

N2 - We present two efficient algorithms which, given a compressed representation of a string w of length N, compute the Lyndon factorization of w. Given a straight line program (SLP) S of size n that describes w, the first algorithm runs in O(n2+P(n,N)+Q(n,N)nlogn) time and O(n2+S(n,N)) space, where P(n,N), S(n,N), Q(n,N) are respectively the pre-processing time, space, and query time of a data structure for longest common extensions (LCE) on SLPs. Given the Lempel–Ziv 78 encoding of size s for w, the second algorithm runs in O(slogs) time and space.

AB - We present two efficient algorithms which, given a compressed representation of a string w of length N, compute the Lyndon factorization of w. Given a straight line program (SLP) S of size n that describes w, the first algorithm runs in O(n2+P(n,N)+Q(n,N)nlogn) time and O(n2+S(n,N)) space, where P(n,N), S(n,N), Q(n,N) are respectively the pre-processing time, space, and query time of a data structure for longest common extensions (LCE) on SLPs. Given the Lempel–Ziv 78 encoding of size s for w, the second algorithm runs in O(slogs) time and space.

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U2 - 10.1016/j.tcs.2016.03.005

DO - 10.1016/j.tcs.2016.03.005

M3 - Article

AN - SCOPUS:84961175476

SN - 0304-3975

VL - 656

SP - 215

EP - 224

JO - Theoretical Computer Science

JF - Theoretical Computer Science

ER -