Computing a Minimum Weight Triangulation of a Sparse Point Set

  • Authors:
  • Cao An Wang;Yin-Feng Xu

  • Affiliations:
  • Department of Computer Science, Memorial University of Newfoundland, St John‘s, NFLD, Canada A1B 3X5;The School of Management, Xi‘an Jiaotong University, Xi‘an, People‘s Republic of China

  • Venue:
  • Journal of Global Optimization
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

Investigating the minimum weight triangulation of a point set with constraint is an important approach for seeking the ultimate solution of the minimum weight triangulation problem. In this paper, we consider the minimum weight triangulation of a sparse point set, and present an O(n^4) algorithm to compute a triangulation of such a set. The property of sparse point set can be converted into a new sufficient condition for finding subgraphs of the minimum weight triangulation. A special point set is exhibited to show that our new subgraph of minimum weight triangulation cannot be found by any currently known methods.