In this paper we study randomized algorithms with random input. We adapt to such algorithms the notion of probability of a false positive which is common in epidemiological studies. The probability of a false positive takes into account both the (controlled) error of the randomization and the random
On the performance of peeling algorithms
β Scribed by Petitjean, Michel ;Saporta, Gilbert
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 453 KB
- Volume
- 8
- Category
- Article
- ISSN
- 8755-0024
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The peeling of a dβdimensional set of points is usually performed with successive calls to a convex hull algorithm; the optimal worstβcase convex hull algorithm, known to have an O(n^Λ^ Log (n)) execution time, may give an O(n^Λ^n^Λ^ Log (n)) to peel all the set; an O(n^Λ^n) convex hull algorithm, m being the number of extremal points, is shown to peel every set with an O(nβn) time, and proved to be optimal; an implementation of this algorithm is given for planar sets and spatial sets, but the latter give only an approximate O(n^Λ^n) performance.
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