Nearly Optimal Expected-Case Planar Point Location

We consider the planar point location problem from the perspective of expected search time. We are given a planar polygonal subdivision S and for each polygon of the subdivision the probability that a query point lies within this polygon. The goal is to compute a search structure to determine which cell of the subdivision contains a given query point, so as to minimize the expected search time. This is a generalization of the classical problem of computing an optimal binary search tree for one-dimensional keys. In the one-dimensional case it has long been known that the entropy H of the distribution is the dominant term in the lower bound on the expected-case search time, and further there exist search trees achieving expected search times of at most H + 2. Prior to this work, there has been no known structure for planar point location with an expected search time better than 2H, and this result required strong assumptions on the nature of the query point distribution. Here we present...

• Type: Conference
• Year: 2000
• Where: FOCS
• Authors: Sunil Arya, Theocharis Malamatos, David M. Mount
• Keywords: Expected Search Time, FOCS 2000, Planar Point Location, Query Point, Theoretical Computer Science