Finding minimal convex nested polygons

  • Authors:
  • Alok Aggarwal;Heather Booth;Joseph O'Rourke;Subhash Suri;Chee K. Yap

  • Affiliations:
  • Mathematical Science Department, IBM Research Center, Yorktown Heights, New York;Department of Rlectrical Engineering and Computer Science, The Johns Hopkins University, Baltimore MD;Department of Rlectrical Engineering and Computer Science, The Johns Hopkins University, Baltimore MD;Department of Rlectrical Engineering and Computer Science, The Johns Hopkins University, Baltimore MD;Courant Institute of Mathematical Sciences, 251 Mcrce Street, New York, NY

  • Venue:
  • SCG '85 Proceedings of the first annual symposium on Computational geometry
  • Year:
  • 1985

Quantified Score

Hi-index 0.00

Visualization

Abstract

We consider the problem of finding a polygon nested between two given convex polygons that has a minimal number of vertices. Our main result is an &Ogr;(nlog&kgr;) algorithm for solving the problem, where n is the total number of vertices of the given polygons, and &kgr; is the number of vertices of a minimal nested polygon. We also present an &Ogr;(n) sub-optimal algorithm, and a simple &Ogr;(nk) optimal algorithm.