Incremental constructions con BRIO

  • Authors:
  • Nina Amenta;Sunghee Choi;Günter Rote

  • Affiliations:
  • University of California at Davis;University of Texas at Austin;Freie Universitat Berlin

  • Venue:
  • Proceedings of the nineteenth annual symposium on Computational geometry
  • Year:
  • 2003

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Abstract

Randomized incremental constructions are widely used in computational geometry, but they perform very badly on large data because of their inherently random memory access patterns. We define a biased randomized insertion order which removes enough randomness to significantly improve performance, but leaves enough randomness so that the algorithms remain theoretically optimal.