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 ecu 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 purposes, engineering and experimental research of algorithms (the “Engineering and functions” track). earlier 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 music of ESA was once 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 court cases 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 resources for Algorithms — ESA 2002: 10th Annual European Symposium Rome, Italy, September 17–21, 2002 Proceedings
Clearly, then the index of the next vertex is im+1 = i + Δ. Δ can be computed by performing an exponential search, followed by a binary search. First ﬁnd the smallest j such that b2j = 1 by computing the bits b2j , j ≤ j. The total time can be shown to be O(im+1 − im ). Next, use binary search to ﬁnd two consecutive bits in the range b2j−1 , . . , b2j . Note that this is not strictly a binary search, as the bits which are ones are not necessarily consecutive. Nevertheless, it is easy to verify that the same divide and conquer approach works.
Sci. Springer-Verlag, Heidelberg, West Germany, 1983. 7, 12  D. Pfoser, C. J. Jensen, and Y. Theodoridis. Novel approaches to the indexing of moving object trajectories. In Proc. 26th Intl. Conf. Very Large Databases, pages 395–406, 2000. 5, 7  C. M. Procopiuc, P. K. Agarwal, and S. Har-Peled. Star-tree: An eﬃcent selfadjusting index for moving points. In Proc. 4th Workshop on Algorithm Engineering and Experiments, 2002. 7  A. P. Sistla and O. Wolfson. Temporal conditions and integrity constraints in active database systems.
Let [x1 , x2 ] × [−∞, y] be a three sided query. We perform a predecessor query on y using the Van Embe Boas tree T to locate the correct version of the persistent structure. 1. e. lists Lv , Rv . The predecessor query can be done in O(log log U ) time and we can perform the 1D query in O(log log U + k) time where k is the number of distinct colors of points contained in the query. Theorem 2. Let P be a set of n colored points in [0, U ]2 . We can construct a data structure of size O(n log U ) in O(n log n log U ) time so that we can answer a 3-sided colored range-searching query in O(log log U + k) time, where k is the output size.