Automata, Languages and Programming: 29th International by John H. Reif (auth.), Peter Widmayer, Stephan Eidenbenz,

By John H. Reif (auth.), Peter Widmayer, Stephan Eidenbenz, Francisco Triguero, Rafael Morales, Ricardo Conejo, Matthew Hennessy (eds.)

This e-book constitutes the refereed court cases of the twenty ninth overseas Colloquium on Automata, Languages and Programming, ICALP 2002, held in Malaga, Spain, in July 2002.
The eighty three revised complete papers awarded including 7 invited papers have been rigorously reviewed and chosen from a complete of 269 submissions. All present features of theoretical machine technology are addressed and significant new effects are offered.

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By John H. Reif (auth.), Peter Widmayer, Stephan Eidenbenz, Francisco Triguero, Rafael Morales, Ricardo Conejo, Matthew Hennessy (eds.)

This e-book constitutes the refereed court cases of the twenty ninth overseas Colloquium on Automata, Languages and Programming, ICALP 2002, held in Malaga, Spain, in July 2002.
The eighty three revised complete papers awarded including 7 invited papers have been rigorously reviewed and chosen from a complete of 269 submissions. All present features of theoretical machine technology are addressed and significant new effects are offered.

Show description

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Extra resources for Automata, Languages and Programming: 29th International Colloquium, ICALP 2002 Málaga, Spain, July 8–13, 2002 Proceedings

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The result serves to illustrate how one can obtain easiness results using the above discussed concepts. V. Marathe A (δ, g)-almost planar graph is a graph with vertex set V together with a genus g layout with at most δ · |V | crossovers. Let S be a fixed finite set of finite arity relations {R1 , . . , Rq }. The optimization problem Max-Relation(S) is the following: Given a set of terms {t1 , t2 , . . , tm }, where each term ti is of the form f (xi1 , xi2 , . . , xir ) for some f ∈ S, assign values to each xi , 1 ≤ i ≤ n, so as to maximize the number of satisfied terms.

41. H. Hunt III, R. V. Marathe, D. E. Stearns. Towards syntactic characterizations of approximation schemes via predicate and graph decompositions. Technical Report No. LA-UR-97-479, Los Alamos National Laboratory, January 1997. 42. P. Jeavons, D. Cohen and M. Gyssens. Closure properties of constraints. J. of the ACM, (JACM) 44(4):527-548, July 1997. 43. S. Khanna, M. Sudan L. Trevisan and D. Williamson. The approximability of constraint satisfaction problems. SIAM J. on Computing, 30(6), pp. 1863–1920, March 2001.

23. T. Feder and M. Vardi. The computational structure of monotone monadic SNP and constraint satisfaction: A study through datalog and group Theory. SIAM J. Computing, 28(1): 57-104 (1998). 24. J. Feigenbaum. “Games, complexity classes and approximation algorithms,” invited talk at the International Congress on Mathematics, Berlin, 1998. 25. A. Fraenkel and Y. Yesha. Complexity of problems in games, graphs, and algebraic equations. Discrete Mathematics, 1, 1979, pp. 15-30. 26. M. Freedman. k-SAT on groups and Undecidability.

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