IDENTIFYING ALL ABELIAN PERIODS OF A STRING IN QUADRATIC TIME AND RELEVANT PROBLEMS

Author:

CHRISTOU MICHALIS1,CROCHEMORE MAXIME12,ILIOPOULOS COSTAS S.13

Affiliation:

1. King's College London, London WC2R 2LS, UK

2. Université Paris-Est, UK

3. Digital Ecosystems and Business Intelligence Institute, Curtin University, GPO Box U1987 Perth WA 6845, Australia

Abstract

Abelian periodicity of strings has been studied extensively over the last years. In 2006 Constantinescu and Ilie defined the abelian period of a string and several algorithms for the computation of all abelian periods of a string were given. In contrast to the classical period of a word, its abelian version is more flexible, factors of the word are considered the same under any internal permutation of their letters. We show two O(|y|2) algorithms for the computation of all abelian periods of a string y. The first one maps each letter to a suitable number such that each factor of the string can be identified by the unique sum of the numbers corresponding to its letters and hence abelian periods can be identified easily. The other one maps each letter to a prime number such that each factor of the string can be identified by the unique product of the numbers corresponding to its letters and so abelian periods can be identified easily. We also define weak abelian periods on strings and give an O(|y|log(|y|)) algorithm for their computation, together with some other algorithms for more basic problems.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous)

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On highly palindromic words: The n-ary case;Discrete Applied Mathematics;2021-12

2. Algorithms for Jumbled Indexing, Jumbled Border and Jumbled Square on run-length encoded strings;Theoretical Computer Science;2016-12

3. A note on easy and efficient computation of full abelian periods of a word;Discrete Applied Mathematics;2016-10

4. Weak Abelian Periodicity of Infinite Words;Theory of Computing Systems;2015-04-08

5. Approximate Abelian Periods to Find Motifs in Biological Sequences;Computational Intelligence Methods for Bioinformatics and Biostatistics;2015

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