Get Algorithms — ESA 2002: 10th Annual European Symposium Rome, PDF
By William Cook (auth.), Rolf Möhring, Rajeev Raman (eds.)
This quantity comprises the seventy four contributed papers and abstracts of four of the five invited talks provided on the tenth Annual eu Symposium on Algorithms (ESA 2002), held on the college 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). past 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 functions song of ESA used to be the once a year Workshop on set of rules En- neering (WAE). earlier 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 lawsuits 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
Let P be a set of n colored hyper-rectangles whose endpoints lie on the grid [0, U ]d . We can construct a O(n1+ ) sized data structure in O(n1+ ) time so that a colored rectangle-intersection query can be answered in O(log log U + k) time, where k is the output size The colored rectangle-intersection problem reduces to a colored range-searching problem when the input hyper-rectangles are points. Hence we get analogous results as Theorem 8 for colored range-searching in higher dimensions too. Note 28 Pankaj K.
Given a polygonal curve P in Rd and a parameter ε ≥ 0, an εsimpliﬁcation of P with size at most κF (ε/2, P ) can be constructed in O(n log n) time and O(n) space. The algorithm is independent of any monotonicity properties. To our knowledge, it is the ﬁrst eﬃcient, simple approximation algorithm for curve simpliﬁcation in dimension higher than two under the Fr´echet error measure. We provide experimental results for polygonal chains in R3 to demonstrate the eﬃciency and quality of our approximation algorithm.
Guibas. Kinetic data structures — a state of the art report. In P. K. Agarwal, L. E. Kavraki, and M. Mason, editors, Proc. Workshop Algorithmic Found. , pages 191–209. A. K. Peters, Wellesley, MA, 1998. 6  R. H. G¨ uting, M. H. B¨ ohlen, M. Erwig, C. S. Jensen, N. A. Lorentzos, M. Schneider, and M. Vazirgiannis. A foundation for representing and querying moving objects. ACM Trans. Database Systems, 25(1):1–42, 2000. 5  G. Kollios, D. Gunopulos, and V. J. Tsotras. On indexing mobile objects.
Algorithms — ESA 2002: 10th Annual European Symposium Rome, Italy, September 17–21, 2002 Proceedings by William Cook (auth.), Rolf Möhring, Rajeev Raman (eds.)