2-dimensional Convex Hull, Online: Difference between revisions
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(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</...") |
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== Parameters == | == Parameters == | ||
n: number of line segments | |||
h: number of points on the convex hull | |||
h: number of points on the convex hull | |||
== Table of Algorithms == | == Table of Algorithms == |
Revision as of 12:02, 15 February 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