Expected asymptotically optimal planar point location

  • Authors:
  • John Iacono

  • Affiliations:
  • Rutgers, The State University of New Jersey-New Brunswick and Department of Computer and Information Science, Polytechnic University, Brooklyn, NY

  • Venue:
  • Computational Geometry: Theory and Applications - Special issue on the 10th fall workshop on computational geometry
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Given a fixed distribution of point location queries among the triangles in a triangulation of the plane, a data structure is presented that achieves, within constant multiplicative factors, the entropy bound on the expected point location query time. The data structure is a simple variation of Kirkpatrick's classic planar point location structure [D.G. Kirkpatrick, SIAM J. Comput. 12 (1) (1983) 28-35], and has linear construction costs and space requirements.