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What and Who

Well-separated pair decomposition for the unit-disk graph metric and its applications

Domagoj Matijevic
Max-Planck-Institut für Informatik - AG 1
AG1 Mittagsseminar (others' work)
AG 1, AG 2, AG 3, AG 4  
AG Audience
English

Date, Time and Location

Wednesday, 3 December 2003
13:30
30 Minutes
46.1 - MPII
024
Saarbrücken

Abstract

Well-Separated Pair Decomposition is a useful and applicable data structure from Computational Geometry. Intuition for this can be find in following: for every pair of well-separated sets, the distance between two points from different sets can be approximated by the "distance" between the two sets. In other words, a WSPD can be seen as a compressed representation to approximate $n^2$ pairwise distances.


Abstract of paper by J. Gao, L. Zhang, STOC (2003): We extend the classic notion of well-separated pair decomposition to the (weighted) unit-disk graph metric: the shortest path distance metric induced by the intersection graph of unit disks. We show that for the unit-disk graph metric of n points in the plane and for any constant c≥1, there exists a c-well-separated pair decomposition with O(n log n) pairs, and the decomposition can be computed in O(n log n) time. We also show that for the unit-ball graph metric in k dimensions where k≥3, there exists a c-well-separated pair decomposition with O(n^(2-2/k)) pairs, and the bound is tight in the worst case. We present the application of the well-separated pair decomposition in obtaining efficient algorithms for approximating the diameter, closest pair, nearest neighbor, center, median, and stretch factor, all under the unit-disk graph metric.

Contact

Ingmar Weber
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Ingmar Weber, 11/18/2003 11:05 -- Created document.