In this paper we propose a variant of the induced suffix sorting algorithm by Nong (TOIS, 2013) that computes simultaneously the Lyndon array and the suffix array of a text in O(n) time using O(n) words of working space, where n is the length of the text and is the alphabet size. Our result improves the previous best space requirement for linear time computation of the Lyndon array. In fact, all the known linear algorithms for Lyndon array computation use suffix sorting as a preprocessing step and use O(n) words of working space in addition to the Lyndon array and suffix array. Experimental results with real and synthetic datasets show that our algorithm is not only space-efficient but also fast in practice.
Louza F.A., Mantaci S., Manzini G., Sciortino M., Telles G.P. (2019). Inducing the Lyndon Array. In N.R. Brisaboa, S.J. Puglisi (a cura di), String Processing and Information Retrieval - 26th International Symposium, SPIRE 2019, Segovia, Spain, October 7–9, 2019, Proceedings (pp. 138-151). Springer [10.1007/978-3-030-32686-9_10].
Inducing the Lyndon Array
Mantaci S.
;Sciortino M.
;
2019-01-01
Abstract
In this paper we propose a variant of the induced suffix sorting algorithm by Nong (TOIS, 2013) that computes simultaneously the Lyndon array and the suffix array of a text in O(n) time using O(n) words of working space, where n is the length of the text and is the alphabet size. Our result improves the previous best space requirement for linear time computation of the Lyndon array. In fact, all the known linear algorithms for Lyndon array computation use suffix sorting as a preprocessing step and use O(n) words of working space in addition to the Lyndon array and suffix array. Experimental results with real and synthetic datasets show that our algorithm is not only space-efficient but also fast in practice.File | Dimensione | Formato | |
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