By William Cook (auth.), Rolf Möhring, Rajeev Raman (eds.)

This quantity includes the seventy four contributed papers and abstracts of four of the five invited talks awarded on the tenth Annual eu Symposium on Algorithms (ESA 2002), held on the collage of Rome “La Sapienza”, Rome, Italy, 17-21 September, 2002. For the ?rst time, ESA had tracks, with separate application committees, which dealt respectively with: – the layout and mathematical research of algorithms (the “Design and An- ysis” track); – real-world functions, engineering and experimental research of algorithms (the “Engineering and purposes” track). prior ESAs have been held in undesirable Honnef, Germany (1993); Utrecht, The Neth- lands (1994); Corfu, Greece (1995); Barcelona, Spain (1996); Graz, Austria (1997); Venice, Italy (1998); Prague, Czech Republic (1999); Saarbruc ¨ ken, Ger- ? many (2000), and Arhus, Denmark (2001). The predecessor to the Engineering and purposes song of ESA used to be the once a year Workshop on set of rules En- neering (WAE). prior WAEs have been held in Venice, Italy (1997), Saarbruc ¨ ken, ? Germany (1998), London, united kingdom (1999), Saarbru ¨cken, Germany (2000), and Arhus, Denmark (2001). The lawsuits of the former ESAs have been released as Springer LNCS volumes 726, 855, 979, 1284, 1461, 1643, 1879, and 2161. The court cases of WAEs from 1999 onwards have been released as Springer LNCS volumes 1668, 1982, and 2161.

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Extra info for Algorithms — ESA 2002: 10th Annual European Symposium Rome, Italy, September 17–21, 2002 Proceedings

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We compare HausdorffSimp with Douglas-Peucker on inputs that are most favorable for Douglas-Peucker, where the curve is always partitioned at the middle vertex, and then recursively simplified. Figure 2(b) compares the running time of the two algorithms, where the curve consists of point sets of varying sizes sampled from a sinusoidal curve. As expected, HausdorffSimp exhibits empirically linear running time, outperforming Near-Linear Time Approximation Algorithms for Curve Simplification 35 the Douglas-Peucker heuristic.

L. Bentley. Multidimensional divide-and-conquer. Commun. ACM, 23(4):214– 229, 1980. 20 [5] B. Chazelle. Filtering search: A new approach to query-answering. SIAM J. , 15(3):703–724, 1986. 20 [6] B. Chazelle. A functional approach to data structures and its use in multidimensional searching. SIAM J. , 17(3):427–462, June 1988. 20 [7] R. Cole and R. Hariharan. Dynamic lca queries. In Proc. 10th Annual Symposium on Discrete Algorithms, pages 235–244, 1999. 22 [8] M. Dietzfelbinger, A. Karlin, K. Mehlhorn, F.

ACM, 23(4):214– 229, 1980. 20 [5] B. Chazelle. Filtering search: A new approach to query-answering. SIAM J. , 15(3):703–724, 1986. 20 [6] B. Chazelle. A functional approach to data structures and its use in multidimensional searching. SIAM J. , 17(3):427–462, June 1988. 20 [7] R. Cole and R. Hariharan. Dynamic lca queries. In Proc. 10th Annual Symposium on Discrete Algorithms, pages 235–244, 1999. 22 [8] M. Dietzfelbinger, A. Karlin, K. Mehlhorn, F. M. auf der Heide, H. Rohnert, and R. E. Tarjan.

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