d-dimensional Convex Hull

Here, we are looking at the general d-dimensional case.

Parameters

  • nn: number of line segments
  • hh: number of points on the convex hull
  • f1f_1: number of facets on the convex hull
  • f2f_2: number of subfacets on the convex hull

Filters

Computational Model

Randomization

Approximation

Algorithms Table

Displaying 3 of 3 algorithms

See more
N-dimensional Quickhull1996O(n*f(h)/h) where f(h) denotes the maximum number of facets with h vertices
Seidel's Shelling Algorithm1986O(n^2+f_1*log(n))
Chand-Kapur, Gift Wrapping1970O(n*f_1)

Reductions Table

Insuffient Data to display table

Other relevant algorithms

Insuffient Data to display table