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By Adrian Horia Dediu, Armand Mihai Ionescu, Carlos Martin-Vide
This e-book constitutes the refereed complaints of the 3rd foreign convention on Language and Automata thought and functions, LATA 2009, held in Tarragona, Spain, in April 2009.
The fifty eight revised complete papers awarded including three invited lectures and tutorials have been rigorously reviewed and chosen from 121 submissions. The papers deal with the entire numerous concerns on the topic of automata conception and formal languages.
Read Online or Download Language and automata theory and applications third international conference, LATA 2009, Tarragona, Spain, April 2-8, 2009, proceedings PDF
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The general problem remains PSPACE-complete if r1 and r2 both have “star-height” k for fixed k ≥ 1 [39], but is NP-complete for k = 0 (“star-free”) [34,65]. Also NP-complete if one of both of r1 and r2 represent bounded languages (a property that can be checked in polynomial time) [39] or if |Σ| = 1 [65]. ” Here a language L is bounded if and only if there exist words w1 , w2 , . . , wk , for some k, such that L ⊆ w1∗ w2∗ . . wk∗ . In [41] it was shown that boundedness 36 M. Holzer and M. Kutrib is a necessary and sufficient condition for context-free languages to be sparse.
8th Annual Conference on Computational Learning Theory, pp. 144–151. ACM Press, New York (1995) 28. : On teaching and learning intersection-closed concept classes. U. ) EuroCOLT 1999. LNCS, vol. 1572, pp. 168–182. Springer, Heidelberg (1999) 29. : Markov Decision Processes: Discrete Stochastic Dynamic Programming. John Wiley & Sons, Chichester (1994) 30. : Dynamic Programming and Optimal Control. Athena Scientific (2001) 31. : A sub-constant error-probability low-degree test, and a subconstant error-probability PCP characterization of NP.
Trivially, non-emptiness logspace many-one reduces to intersection non-emptiness, even to k-bounded intersection non-emptiness for constant k. The results on these problems read as follows: In [48] it was shown that ∅ = DFA is PSPACE-complete. Since ∅ = AFA can be decided within nondeterministic polynomial space, ∅ = NFA and ∅ = AFA are PSPACE-complete, too. , given automata A1 , A2 , . . , An from C, does there exist infinitely many words in 1≤i≤n L(Ai ) is also PSPACE-complete, for DFAs. Further PSPACEcomplete problems on NFAs based on pattern and power acceptance were identified in [4].