By Lorenzo Alvisi, Edmund L. Wong (auth.), Pedro R. D’Argenio, Hernán Melgratti (eds.)
This e-book constitutes the completely refereed complaints of the twenty fourth overseas convention on Concurrency idea, CONCUR 2013, held in Buenos Aires, Argentina, August 27-30, 2013.
The 34 revised complete papers provided including four invited talks have been rigorously reviewed and chosen from a hundred and fifteen submissions. The papers are equipped in issues corresponding to method semantics and modal transition platforms, VAS and pushdown platforms, Pi calculus and interplay nets, linearizability and verification of concurrent courses, verification of countless types, version degree and reversibility, stochastic types, message-based interplay tactics, ideas of computerized verification, and video games and regulate synthesis.
Read Online or Download CONCUR 2013 – Concurrency Theory: 24th International Conference, CONCUR 2013, Buenos Aires, Argentina, August 27-30, 2013. Proceedings PDF
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Extra resources for CONCUR 2013 – Concurrency Theory: 24th International Conference, CONCUR 2013, Buenos Aires, Argentina, August 27-30, 2013. Proceedings
3 together with Ex. 1 (resp. 2) provides complexity upper bounds on the Termination (resp. Coverability) algorithm when applied to broadcast protocols. Indeed, a nondeterministic program can guess a witness of (non-) Termination (resp. Coverability), which is of length bounded by Lg,NQ (n) + 1, where g was computed in Ex. 1 (resp. 2) and n is the size of the initial conﬁguration sinit (resp. target conﬁguration t). By Thm. 3 such a witness has length bounded by hω#Q (n) for h(n) = #Q · g(n), and by (6), the norm of the #Q elements along this sequence is bounded by hω (n).
Kuˇcera, A. ) MFCS 2010. LNCS, vol. 6281, pp. 616–628. Springer, Heidelberg (2010) 43. : Proofs and Computation. Perspectives in Logic. Cambridge University Press (2012) 44. : The complexity of decision procedures in relevance logic II. J. Symb. Log. 64(4), 1774–1802 (1999) 45. : Complexity bounds for some ﬁnite forms of Kruskal’s Theorem. J. Symb. Comput. 18(5), 463–488 (1994) Impact of Resource Sharing on Performance and Performance Prediction: A Survey Andreas Abel, Florian Benz, Johannes Doerfert, Barbara D¨ orr, Sebastian Hahn, Florian Haupenthal, Michael Jacobs, Amir H.
This is the hierarchy we are going to use for our statements of length function theorems: a Hardy function hα is used to bound the maximal norm of an element in a bad sequence, and the corresponding Cicho´ n function hα bounds the length of the bad sequence itself, the two functions being related for all h, α, and x by hα (x) = hhα (x) (x) . (6) Length Functions for Dickson’s Lemma. We can now provide an example of a length function theorem for a non-trivial wqo: Consider (NQ , ⊆) and some control function g.