Abstract
It was recently proved that the dualization in lattices given by implicational bases is impossible in output-polynomial time unless \(\mathsf{P}\!=\!\mathsf{NP}\). In this paper, we show that this result holds even when the premises in the implicational base are of size at most two. In the case of premises of size one—when the lattice is distributive—we show that the dualization is possible in output quasi-polynomial time whenever the graph of implications is of bounded maximum induced matching. Lattices that share this property include distributive lattices coded by the ideals of an interval order.
This work has been supported by the ANR project GraphEn ANR-15-CE40-0009.
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Notes
- 1.
Here the graph of implications is considered directed, where there is an arc (ab) in \(G(\varSigma )\) if there exists \(A\rightarrow b\in \varSigma \), \(a\in A\), and the implicational base is said to be acyclic if its graph of implications is; see [22].
References
Babin, M.A., Kuznetsov, S.O.: Enumerating minimal hypotheses and dualizing monotone boolean functions on lattices. In: Valtchev, P., Jäschke, R. (eds.) ICFCA 2011. LNCS (LNAI), vol. 6628, pp. 42–48. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20514-9_5
Babin, M.A., Kuznetsov, S.O.: Dualization in lattices given by ordered sets of irreducibles. Theor. Comput. Sci. 658, 316–326 (2017)
Birkhoff, G.: Rings of sets. Duke Math. J. 3(3), 443–454 (1937)
Birkhoff, G.: Lattice Theory, vol. 25. American Mathematical Society, New York (1940)
Bogart, K.P.: An obvious proof of Fishburn’s interval order theorem. Discrete Mathe. 118(1–3), 239–242 (1993)
Creignou, N., Kröll, M., Pichler, R., Skritek, S., Vollmer, H.: A complexity theory for hard enumeration problems. Discrete Appl. Math. (2019). https://doi.org/10.1016/j.dam.2019.02.025
Davey, B.A., Priestley, H.A.: Introduction to Lattices and Order. Cambridge University Press, Cambridge (2002)
Eiter, T., Gottlob, G.: Identifying the minimal transversals of a hypergraph and related problems. SIAM J. Comput. 24(6), 1278–1304 (1995)
Eiter, T., Gottlob, G., Makino, K.: New results on monotone dualization and generating hypergraph transversals. SIAM J. Comput. 32(2), 514–537 (2003)
Eiter, T., Makino, K., Gottlob, G.: Computational aspects of monotone dualization: a brief survey. Discrete Appl. Math. 156(11), 2035–2049 (2008)
Elbassioni, K.M.: An algorithm for dualization in products of lattices and its applications. In: Möhring, R., Raman, R. (eds.) ESA 2002. LNCS, vol. 2461, pp. 424–435. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45749-6_39
Elbassioni, K.M.: Algorithms for dualization over products of partially ordered sets. SIAM J. Discrete Math. 23(1), 487–510 (2009)
Fishburn, P.C.: Intransitive indifference with unequal indifference intervals. J. Math. Psychol. 7(1), 144–149 (1970)
Fredman, M.L., Khachiyan, L.: On the complexity of dualization of monotone disjunctive normal forms. J. Algorithms 21(3), 618–628 (1996)
Garey, M.R., Johnson, D.S.: Computers and Intractability, vol. 29. W. H. Freeman, New York (2002)
Grätzer, G.: Lattice Theory: Foundation. Springer, Basel (2011). https://doi.org/10.1007/978-3-0348-0018-1
Gunopulos, D., Mannila, H., Khardon, R., Toivonen, H.: Data mining, hypergraph transversals, and machine learning. In: PODS, pp. 209–216. ACM (1997)
Johnson, D.S., Yannakakis, M., Papadimitriou, C.H.: On generating all maximal independent sets. Inf. Process. Lett. 27(3), 119–123 (1988)
Kavvadias, D.J., Sideri, M., Stavropoulos, E.C.: Generating all maximal models of a boolean expression. Inf. Process. Lett. 74(3–4), 157–162 (2000)
Nourine, L., Petit, J.M.: Extending set-based dualization: application to pattern mining. In: Proceedings of the 20th European Conference on Artificial Intelligence, pp. 630–635. IOS Press (2012)
Nourine, L., Petit, J.M.: Dualization on partially ordered sets: preliminary results. In: Kotzinos, D., Choong, Y.W., Spyratos, N., Tanaka, Y. (eds.) ISIP 2014. CCIS, vol. 497, pp. 23–34. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-38901-1_2
Wild, M.: The joy of implications, aka pure horn formulas: mainly a survey. Theor. Comput. Sci. 658, 264–292 (2017)
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Defrain, O., Nourine, L. (2019). Dualization in Lattices Given by Implicational Bases. In: Cristea, D., Le Ber, F., Sertkaya, B. (eds) Formal Concept Analysis. ICFCA 2019. Lecture Notes in Computer Science(), vol 11511. Springer, Cham. https://doi.org/10.1007/978-3-030-21462-3_7
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