Foundation for a Series of Efficient Simulation Algorithms
Affiliation auteurs | Affiliation ok |
Titre | Foundation for a Series of Efficient Simulation Algorithms |
Type de publication | Conference Paper |
Year of Publication | 2017 |
Auteurs | Cece G |
Conference Name | 2017 32ND ANNUAL ACM/IEEE SYMPOSIUM ON LOGIC IN COMPUTER SCIENCE (LICS) |
Publisher | IEEE; Assoc Comp Machinery |
Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
ISBN Number | 978-1-5090-3018-7 |
Résumé | Compute the coarsest simulation preorder included in an initial preorder is used to reduce the resources needed to analyze a given transition system. This technique is applied on many models like Kripke structures, labeled graphs, labeled transition systems or even word and tree automata. Let (Q, ->) be a given transition system and R-init be an initial preorder over Q. Until now, algorithms to compute R-sim, the coarsest simulation included in R-init, are either memory efficient or time efficient but not both. In this paper we propose the foundation for a series of efficient simulation algorithms with the introduction of the notion of maximal transitions and the notion of stability of a preorder with respect to a coarser one. As an illustration we solve an open problem by providing the first algorithm with the best published time complexity, O(|P-sim|.| -> |), and a bit space complexity in O(|P-sim|(2). log(|P-sim|)+|Q|. log(|Q|)), with P-sim the partition induced by R-sim. |