TR-04-08: Approximate Distance Oracles for Geometric Spanners

Abstract

Given an arbitrary real constant $\eps > 0$, and a geometric graph $G$ in $d$-dimensional Euclidean space with $n$ points, $m$ edges, and constant dilation, we present a data structure that answers $(1+\eps)$-approximate shortest path length queries in constant time. The data structure can be constructed in $O(m + n \log n)$ time using $O(n\log n)$ space. This represents the first data structure that answers $(1+\eps)$-approximate shortest path queries in constant time, and hence functions as an approximate distance oracle. The data structure is also applied to several other problems. In particular, we also show that approximate shortest path queries between vertices in a planar polygonal domain with “rounded” obstacles can be answered in constant time. Other applications include query versions of closest pair problems, and the efficient computation of the approximate dilations of geometric graphs.