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Re: [cgal-discuss] best way to find extreme points from a set of points in high-dimension


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  • From: Marc Glisse <>
  • To:
  • Subject: Re: [cgal-discuss] best way to find extreme points from a set of points in high-dimension
  • Date: Tue, 25 Oct 2011 22:38:12 +0200 (CEST)

On Tue, 25 Oct 2011, Cassio P. de Campos wrote:

I am trying to find an algorithm particularly optimized for the
following problem: given a set of points in R^d, find the extreme
ones, that is, find the subset of points that cannot be written as a
convex combination of the others. My first question is if somebody
knows the fastest available idea (asymptotically speaking, based on
input and output sizes) to solve the problem.

I believe the fastest ideas are based on linear programming, and testing for each point whether it is on the convex hull. There are some theoretical results to factor some of the computation between the linear programs, but testing each independently should do.

http://www.cgal.org/Manual/latest/doc_html/cgal_manual/QP_solver/Chapter_main.html#sec:QP-iterators

--
Marc Glisse



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