By David Peleg (auth.), Rossella Petreschi, Giuseppe Persiano, Riccardo Silvestri (eds.)
This publication constitutes the refereed complaints of the fifth Italian convention on Algorithms and Computation, CIAC 2003, held in Rome, Italy in may perhaps 2003.
The 23 revised complete papers provided have been rigorously reviewed and chosen from fifty seven submissions. one of the issues addressed are complexity, complexity thought, geometric computing, matching, on-line algorithms, combinatorial optimization, computational graph concept, approximation algorithms, community algorithms, routing, and scheduling.
Read or Download Algorithms and Complexity: 5th Italian Conference, CIAC 2003, Rome, Italy, May 28–30, 2003. Proceedings PDF
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Additional resources for Algorithms and Complexity: 5th Italian Conference, CIAC 2003, Rome, Italy, May 28–30, 2003. Proceedings
Welzl, Congruence, Similarity and Symmetries of Geometric Objects, Discrete Computational Geometry, vol. 3, pp. 237-256, 1988. 7. M. D. Atkinson, An Optimal Algorithm for Geometrical Congruence, J. Algorithms, vol. 8, pp. 159-172, 1987. An Improved Algorithm for Point Set Pattern Matching under Rigid Motion 45 8. A. Bishnu, P. Bhowmick, J. Dey, B. B. Bhattacharya, M. K. Kundu, C. A. Murthy, and T. Acharya, Combinatorial Classiﬁcation of Pixels for Ridge Extraction in a Gray-scale Fingerprint Image, accepted in: The 3rd Indian Conference on Computer Vision, Graphics and Image Processing, Ahmedabad, India, Dec.
So the goal is to place vertex/edge guards as well as to place the given paintings on the boundary of the polygon. The problem called Maximum Value Vertex/Edge Guard PP is also APXcomplete (). 34 E. Markou, S. Zachos, and C. Fragoudakis "nE" "log n" APX MIN (holes) MAX PTAS MIN (without holes) Fig. 7. Classifying Art Gallery problems in approximation classes. We use: “n ” to denote the class of problems with O(n ) approximation ratio, “log n” for the class of problems with O(log n) approximation ratio, APX for the class of problems with constant approximation ratio and PTAS for the class of problems with an inﬁnitely close to 1 constant approximation ratio.
In , it is shown that exact point pattern matching can be easily be reduced to string matching . Approximate point set pattern matching: The approximate point set pattern matching is more realistic in many actual applications [4,5,15]. , for each point qi ∈ Q, ﬁnd its match, pi ∈ P such that qi lies in the -neighbourhood of pi (a circle of radius centered at pi ). Partial point set pattern matching: Let |P | = n, and |Q| = k, n ≥ k, the problem is to ascertain whether a subset of P matches with Q under some transformation.