An efficient algorithm for link distance problems

39Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The link distance between two points inside a simple polygon P is defined to be the minimum number of edges required to form a polygonal path inside P that connects the points. A link furthest neighbor of a point p € P is a point of P whose link distance is the maximum from p. The Iink center of P is the collection of points whose link distances to their link furthest neighbors are minimized. We present an O(n log n) time and O(n) space algorithm for computing the link center of a. simple polygon P, where n is the number of vertices of P. This improves the previous O(n2) time and space algorithm. Our algorithm essentially sweeps a chord through the polygon and spends O(log n) time at each step. We demonstrate that the output of the algorithm, a sequence of sets of chords, is a powerful tool for solving several other link distance problems.

Cite

CITATION STYLE

APA

Ke, Y. (1989). An efficient algorithm for link distance problems. In Proceedings of the Annual Symposium on Computational Geometry (Vol. Part F130124, pp. 69–78). Association for Computing Machinery. https://doi.org/10.1145/73833.73841

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free