Computer Science – Theory and Applications: 11th by Alexander S. Kulikov, Gerhard J. Woeginger

By Alexander S. Kulikov, Gerhard J. Woeginger

This ebook constitutes the complaints of the eleventh foreign laptop technology Symposium in Russia, CSR 2016, held in St. Petersburg, Russia, in June 2016.

The 28 complete papers provided during this quantity have been rigorously reviewed and chosen from seventy one submissions. furthermore the e-book includes four invited lectures. The scope of the proposed issues is sort of large and covers quite a lot of parts reminiscent of: comprise, yet aren't restricted to: algorithms and knowledge constructions; combinatorial optimization; constraint fixing; computational complexity; cryptography; combinatorics in laptop technology; formal languages and automata; computational versions and ideas; algorithms for concurrent and allotted platforms, networks; facts idea and functions of common sense to desktop technology; version checking; automatic reasoning; and deductive methods.

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Additional info for Computer Science – Theory and Applications: 11th International Computer Science Symposium in Russia, CSR 2016, St. Petersburg, Russia, June 9-13, 2016, Proceedings

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Comput. Sci. 410(37), 3481–3494 (2009) 15. : Weighted automata and multi-valued logics over arbitrary bounded lattices. Theor. Comput. Sci. 418, 14–36 (2012) On High-Quality Synthesis 15 16. : Model checking quantitative linear time logic. Electr. Notes Theor. Comput. Sci. 220(3), 61–77 (2008) 17. : Rational synthesis. , Majumdar, R. ) TACAS 2010. LNCS, vol. 6015, pp. 190–204. Springer, Heidelberg (2010) 18. : 11:Markov chains. In: Introduction to Probability. American Mathematical Society (1997) 19.

Let z be a vertex such that f (z) = 0 and C(f, z) = C0 (f ). Pick a 0certificate S0 of length m = C0 (f ) and z ∈ S0 . It has m neighbour subcubes which we denote by S1 , S2 , . , Sm . Let n = n − m = dim(Si ) for each Si . We work with a graph G induced on a vertex set {x | f (x) = 1}. Let Gi = G ∩ Si . As S0 is a minimal certificate for z, we have Gi = ∅ for each i ∈ [m]. Since any v ∈ Gi is sensitive to S0 , we have s(Gi , Si ) ≤ 1. Thus by Theorem 2 either Gi is an (n − 1)-subcube of Si with R(Gi : Si ) = 12 or R(Gi : Si ) ≥ 34 .

Variations on the sensitivity conjecture. In: Number 4 in Graduate Surveys. Theory of Computing Library (2011) 11. : Sensitivity, block sensitivity, and -block sensitivity of Boolean functions. Inf. Comput. 189(1), 43–53 (2004) 12. : Sensitivity conjecture and log-rank conjecture for functions with small alternating numbers. 06627 (2016) 13. : CREW PRAMS and decision trees. In: Proceedings of the Twenty-first Annual ACM Symposium on Theory of Computing, STOC 1989, pp. 327–335. ACM, New York, NY, USA (1989) 14.

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