Exact and approximation algorithms for computing the dilation spectrum of paths, trees, and cycles

  • Authors:
  • Rolf Klein;Christian Knauer;Giri Narasimhan;Michiel Smid

  • Affiliations:
  • Institute of Computer Science I, Universität Bonn, Bonn, Germany;Institute of Computer Science, Freie Universität Berlin, Berlin, Germany;School of Computer Science, Florida, International University, Miami, FL;School of Computer Science, Carleton University, Ottawa, Ontario, Canada

  • Venue:
  • ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Let G be a graph embedded in Euclidean space. For any two vertices of G their dilation denotes the length of a shortest connecting path in G, divided by their Euclidean distance. In this paper we study the spectrum of the dilation, over all pairs of vertices of G. For paths, trees, and cycles in 2D we present O(n3/2+ε) randomized algorithms that compute, for a given value κ ≥ 1, the exact number of vertex pairs of dilation κ. Then we present deterministic algorithms that approximate the number of vertex pairs of dilation κ up to an 1+η factor. They run in time O(n log2n) for chains and cycles, and in time O(n log3n) for trees, in any constant dimension.