String Attractors of Some Simple-Parry Automatic Sequences
Author:
Funder
Ministero dell’Universitá e della Ricerca
Fonds De La Recherche Scientifique - FNRS
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00224-024-10195-7.pdf
Reference37 articles.
1. Kempa, D., Prezza, N.: At the roots of dictionary compression: string attractors. In: STOC’18—Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, pp. 827–840. ACM, New York (2018). https://doi.org/10.1145/3188745.3188814
2. Navarro, G., Prezza, N.: Universal compressed text indexing. Theor. Comput. Sci. 762, 41–50 (2019). https://doi.org/10.1016/J.TCS.2018.09.007
3. Christiansen, A.R., Ettienne, M.B., Kociumaka, T., Navarro, G., Prezza, N.: Optimal-time dictionary-compressed indexes. ACM Trans. Algorithms 17(1), 8–1839 (2021)
4. Kociumaka, T., Navarro, G., Prezza, N.: Toward a definitive compressibility measure for repetitive sequences. IEEE Trans. Inform. Theory. 69(4), 2074–2092 (2023). https://doi.org/10.1109/tit.2022.3224382
5. Schaeffer, L., Shallit, J.: String attractor for automatic sequences (2022). Preprint available at arxiv:2012.06840
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