Approximating geometric bottleneck shortest paths

  • Authors:
  • Prosenjit Bose;Anil Maheshwari;Giri Narasimhan;Michiel Smid;Norbert Zeh

  • Affiliations:
  • School of Computer Science, Carleton University, Ottawa, Ontario, Canada K1S 5B6;School of Computer Science, Carleton University, Ottawa, Ontario, Canada K1S 5B6;School of Computer Science, Florida International University, Miami, FL;School of Computer Science, Carleton University, Ottawa, Ontario, Canada K1S 5B6;Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada B3H 1W5

  • Venue:
  • Computational Geometry: Theory and Applications
  • Year:
  • 2004

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Abstract

In a geometric bottleneck shortest path problem, we are given a set S of n points in the plane, and want to answer queries of the following type: given two points p and q of S and a real number L, compute (or approximate) a shortest path between p and q in the subgraph of the complete graph on S consisting of all edges whose lengths are less than or equal to L. We present efficient algorithms for answering several query problems of this type. Our solutions are based on Euclidean minimum spanning trees, spanners, and the Delaunay triangulation. A result of independent interest is the following. For any two points p and q of S, there is a path between p and q in the Delaunay triangulation, whose length is less than or equal to 2π/(3 cos(π/6)) times the Euclidean distance |pq| between p and q, and all of whose edges have length at most |pq|.