D-dimensional Convex Hull: Difference between revisions

From Algorithm Wiki
Jump to navigation Jump to search
(Created page with "{{DISPLAYTITLE:d-dimensional Convex Hull (Convex Hull)}} == Description == Here, we are looking at the general d-dimensional case. == Related Problems == Subproblem: 2-dimensional Convex Hull, 3-dimensional Convex Hull Related: 3-dimensional Convex Hull, 2-dimensional Convex Hull, Online, 2-dimensional Convex Hull, Dynamic == Parameters == <pre>n: number of line segments h: number of points on the convex hull f_1: number of facets on the con...")
 
No edit summary
Line 12: Line 12:
== Parameters ==  
== Parameters ==  


<pre>n: number of line segments
n: number of line segments
 
h: number of points on the convex hull
h: number of points on the convex hull
f_1: number of facets on the convex hull
f_1: number of facets on the convex hull
f_2: number of subfacets on the convex hull</pre>
 
f_2: number of subfacets on the convex hull


== Table of Algorithms ==  
== Table of Algorithms ==  

Revision as of 12:02, 15 February 2023

Description

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

Related Problems

Subproblem: 2-dimensional Convex Hull, 3-dimensional Convex Hull

Related: 3-dimensional Convex Hull, 2-dimensional Convex Hull, Online, 2-dimensional Convex Hull, Dynamic

Parameters

n: number of line segments

h: number of points on the convex hull

f_1: number of facets on the convex hull

f_2: number of subfacets on the convex hull

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
Incremental convex hull algorithm; Michael Kallay 1984 $O(n log n)$ Exact Deterministic Time
Seidel's Shelling Algorithm 1986 $O(n^{2}+f_1*log(n)$) Exact Deterministic Time
Chand-Kapur, Gift Wrapping 1970 $O(n*f_1)$ Exact Deterministic Time
N-dimensional Quickhull 1996 $O(n*f(h)$/h) where f(h) denotes the maximum number of facets with h vertices Exact Deterministic Time