Algorithms and Complexity: 5th Italian Conference, CIAC by David Peleg (auth.), Rossella Petreschi, Giuseppe Persiano,

By David Peleg (auth.), Rossella Petreschi, Giuseppe Persiano, Riccardo Silvestri (eds.)

This ebook constitutes the refereed complaints of the fifth Italian convention on Algorithms and Computation, CIAC 2003, held in Rome, Italy in could 2003.

The 23 revised complete papers awarded have been conscientiously reviewed and chosen from fifty seven submissions. one of the subject matters addressed are complexity, complexity concept, geometric computing, matching, on-line algorithms, combinatorial optimization, computational graph idea, approximation algorithms, community algorithms, routing, and scheduling.

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217-221, 1995. 22. N. Megiddo, Applying Parallel Computation Algorithms in the Design of Serial Algorithms, J. Assoc. Comput. Mach, vol 30, pp. 852-865, 1983. 23. P. J. Rezende and D. T. Lee, Point Set Pattern Matching in d-dimensions, Algorithmica, vol. 13, pp. 387-404, 1995. 24. L. Szekely, Crossing numbers and Hard Erd¨ os Problems in Discrete Geometry, Combinatorics, Probability and Computing, vol. 6, pp. 353-358, 1997. 25. J. Spencer, E. Szemeredi, and W. T. Trotter, Unit Distances in the Euclidean Plane, in: Graph Theory and Combinatorics (B.

20. D. T. Lee and Y. T. Ching, The Power of Geometric Duality Revisited, Inform. Process. , vol 21, pp. 117-122, 1985. 21. J. Matousek, On Enclosing k Points by a Circle, Information Processing Letters, vol. 53, pp. 217-221, 1995. 22. N. Megiddo, Applying Parallel Computation Algorithms in the Design of Serial Algorithms, J. Assoc. Comput. Mach, vol 30, pp. 852-865, 1983. 23. P. J. Rezende and D. T. Lee, Point Set Pattern Matching in d-dimensions, Algorithmica, vol. 13, pp. 387-404, 1995. 24. L.

Imagine a number of towns lying on the boundary of a polygonal geographical area. The goal is to place at most k stations such that the total number of people that can communicate is maximized. Moreover, it could be the case that the towns are on the shore of a lake, so we can only place stations on the boundary. Similar situations may arise in various other types of landscape. We show APX-hardness of Maximum Value Vertex Guard and conclude that this problem is APX-complete since there exists a polynomial time constant-ratio approximation algorithm ([12]).

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