2-dimensional Convex Hull, Online: Difference between revisions

From Algorithm Wiki
Jump to navigation Jump to search
(Created page with "{{DISPLAYTITLE:2-dimensional Convex Hull, Online (Convex Hull)}} == Description == Here, we are given the input points one by one, and must maintain the current convex hull after each input point. == Related Problems == Generalizations: 2-dimensional Convex Hull Related: 3-dimensional Convex Hull, d-dimensional Convex Hull, 2-dimensional Convex Hull, Dynamic == Parameters == <pre>n: number of line segments h: number of points on the convex hull</...")
 
No edit summary
 
(One intermediate revision by the same user not shown)
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</pre>
 
$h$: number of points on the convex hull


== Table of Algorithms ==  
== Table of Algorithms ==  
Line 23: Line 24:
|-
|-


| [[Incremental convex hull algorithm; Michael Kallay ( Convex Hull)|Incremental convex hull algorithm; Michael Kallay]] || 1984 || $O(n log n)$ ||  || Exact || Deterministic || [https://www-sciencedirect-com.ezproxy.canberra.edu.au/science/article/pii/002001908490084X Time]
| [[Incremental convex hull algorithm; Michael Kallay ( Convex Hull)|Incremental convex hull algorithm; Michael Kallay]] || 1984 || $O(n \log n)$ ||  || Exact || Deterministic || [https://www-sciencedirect-com.ezproxy.canberra.edu.au/science/article/pii/002001908490084X Time]
|-
|-
| [[Online 2-d Convex Hull, Preparata (2-dimensional Convex Hull, Online Convex Hull)|Online 2-d Convex Hull, Preparata]] || 1979 || $O(logn)$ per operation, $O(n*log(n)$) total || $O(n)$ || Exact || Deterministic || [https://dl-acm-org.ezproxy.canberra.edu.au/doi/abs/10.1145/359131.359132 Time]
| [[Online 2-d Convex Hull, Preparata (2-dimensional Convex Hull, Online Convex Hull)|Online 2-d Convex Hull, Preparata]] || 1979 || $O(logn)$ per operation, $O(n*log(n)$) total || $O(n)$ || Exact || Deterministic || [https://dl-acm-org.ezproxy.canberra.edu.au/doi/abs/10.1145/359131.359132 Time]

Latest revision as of 08:19, 10 April 2023

Description

Here, we are given the input points one by one, and must maintain the current convex hull after each input point.

Related Problems

Generalizations: 2-dimensional Convex Hull

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

Parameters

$n$: number of line segments

$h$: number of points 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
Online 2-d Convex Hull, Preparata 1979 $O(logn)$ per operation, $O(n*log(n)$) total $O(n)$ Exact Deterministic Time

References/Citation

https://dl-acm-org.ezproxy.canberra.edu.au/doi/abs/10.1145/359131.359132

https://link-springer-com.ezproxy.canberra.edu.au/content/pdf/10.1007/978-1-4612-1098-6.pdf