Download Automata, Languages and Programming: 27th International by Samson Abramsky (auth.), Ugo Montanari, José D. P. Rolim, PDF

By Samson Abramsky (auth.), Ugo Montanari, José D. P. Rolim, Emo Welzl (eds.)

This e-book constitutes the refereed complaints of the twenty seventh overseas Colloquium on Automata, Languages and Programming, ICALP 2000, held in Geneva, Switzerland in July 2000. The sixty nine revised complete papers offered including 9 invited contributions have been rigorously reviewed and chosen from a complete of 196 prolonged abstracts submitted for the 2 tracks on algorithms, automata, complexity, and video games and on common sense, semantics, and programming thought. All in all, the quantity provides an special image of the state of the art in theoretical laptop science.

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Additional info for Automata, Languages and Programming: 27th International Colloquium, ICALP 2000 Geneva, Switzerland, July 9–15, 2000 Proceedings

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Hatcliff and Danvy [HD97] propose a partial evaluator for a computational metalanguage, and they formalise existing techniques in a uniform framework by abstracting from dynamic computational effects. However, this partial evaluator does not seem to allow interesting computational effects at specialisation time. References BMTS99. Zine El-Abidine Benaissa, Eugenio Moggi, Walid Taha, and Tim Sheard. Logical modalities and multi-stage programming. In Federated Logic Conference (FLoC) Satellite Workshop on Intuitionistic Modal Logics and Applications (IMLA), July 1999.

1 Greedy Algorithm on Random Graphs Given a graph G = (V, E) and some fixed ordering of its vertices, the greedy coloring algorithm proceeds by scanning vertices of G in the given order and assigning the first available color for a current vertex. The greedy algorithm has long been known to be a quite successful algorithm for almost all graphs in G(n, p), if the edge probability p is not too small. , uses an optimal up to a constant factor number of colors with probability extremely close to 1.

One possible candidate is the problem of approximating the value of a maximum cut in a graph (MAXCUT). We hope that the ideas of this paper can be used to devise algorithms, finding almost optimal cuts in expected polynomial time for various values of the edge probability p. 24 M. H. Vu References 1. N. Alon, Spectral techniques in graph algorithms, Lecture Notes Comp. Sci. 1380 (C. L. Lucchessi and A. V. ), Springer, Berlin, 1998, 206–215. 2. N. Alon and N. Kahale, A spectral technique for coloring random 3-colorable graphs, Proc.

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