Computing Hereditary Convex Structures

  • Authors:
  • Bernard Chazelle;Wolfgang Mulzer

  • Affiliations:
  • Princeton University, Department of Computer Science, 35 Olden Street, 08540, Princeton, NJ, USA;Freie Universität Berlin, Institut für Informatik, Takustraße 9, 14195, Berlin, Germany

  • Venue:
  • Discrete & Computational Geometry - Special Issue: 25th Annual Symposium on Computational Geometry; Guest Editor: John Hershberger
  • Year:
  • 2011

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Abstract

Color red and blue the n vertices of a convex polytope $\mathcal{P}$ in ℝ3. Can we compute the convex hull of each color class in o(nlog n) time? What if we have more than two colors? What if the colors are random? Consider an arbitrary query halfspace and call the vertices of $\mathcal{P}$ inside it blue: can the convex hull of the blue points be computed in time linear in their number? More generally, can we quickly compute the blue hull without looking at the whole polytope? This paper considers several instances of hereditary computation and provides new results for them. In particular, we resolve an eight-year old open problem by showing how to split a convex polytope in linear expected time.