2019
DOI: 10.1007/978-3-030-32686-9_13
|View full text |Cite
|
Sign up to set email alerts
|

Online Algorithms on Antipowers and Antiperiods

Abstract: The definition of antipower introduced by Fici et al. (ICALP 2016) captures the notion of being the opposite of a power : a sequence of k pairwise distinct blocks of the same length. Recently, Alamro et al. (CPM 2019) defined a string to have an antiperiod if it is a prefix of an antipower, and gave complexity bounds for the offline computation of the minimum antiperiod and all the antiperiods of a word. In this paper, we address the same problems in the online setting. Our solutions rely on new arrays that co… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 25 publications
0
2
0
Order By: Relevance
“…Future extensions of this work will include reducing the delay of our algorithm (currently O(n log n)). We observe that it is rather simple to obtain O(log 2 n) delay at the cost of randomizing the algorithm by employing an online Karp-Rabin fingerprinting structure such as the one described in [2]: once fast fingerprinting is available, one can quickly find the LCS between any two text prefixes by binary search. It would also be interesting to reduce the overall running time of our algorithm.…”
Section: Discussionmentioning
confidence: 99%
“…Future extensions of this work will include reducing the delay of our algorithm (currently O(n log n)). We observe that it is rather simple to obtain O(log 2 n) delay at the cost of randomizing the algorithm by employing an online Karp-Rabin fingerprinting structure such as the one described in [2]: once fast fingerprinting is available, one can quickly find the LCS between any two text prefixes by binary search. It would also be interesting to reduce the overall running time of our algorithm.…”
Section: Discussionmentioning
confidence: 99%
“…Li and Smyth [24] produced an on-line algorithm for the all-covers problem. Related string factorization problems include antiperiods [2] and anticovers [1], in addition to approximate [3] and partial [22] covers and seeds [21]. Other combinatorial covering problems consider applications to graphs [31,11].…”
Section: Introductionmentioning
confidence: 99%