Antoine Vigneron
King Abdullah University of Science and Technology
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Publication
Featured researches published by Antoine Vigneron.
symposium on discrete algorithms | 2002
Siu-Wing Cheng; Antoine Vigneron
We present a new algorithm to compute motorcycle graphs. It runs in
Information Processing Letters | 2000
Antoine Vigneron; Lixin Gao; Giuseppe F. Italiano; Bo Li; Mordecai J. Golin
O(n \sqrt{n}\log n)
symposium on discrete algorithms | 2007
Siu-Wing Cheng; Hyeon-Suk Na; Antoine Vigneron; Yajun Wang
time when n is the number of motorcycles. We give a new characterization of the straight skeleton of a nondegenerate polygon. For a polygon with n vertices and h holes, we show that it yields a randomized algorithm that reduces the straight skeleton computation to a motorcycle graph computation in expected
Discrete and Computational Geometry | 2005
Helmut Alt; Otfried Cheong; Antoine Vigneron
O(n\sqrt{h+1}\log^2 n)
Information Processing Letters | 2015
Hervé Fournier; Anas Ismail; Antoine Vigneron
time. Combining these results, we can compute the straight skeleton of a nondegenerate polygon with h holes and with n vertices, among which r are reflex vertices, in
european symposium on algorithms | 2008
Hervé Fournier; Antoine Vigneron
O(n\sqrt{h+1}\log^2 n+r \sqrt{r} \log r)
Theoretical Computer Science | 2003
Otfried Cheong; Chan-Su Shin; Antoine Vigneron
expected time. In particular, we cancompute the straight skeleton of a nondegenerate polygon with n vertices in
Theoretical Computer Science | 2003
Rob Duncan; Jianbo Qian; Antoine Vigneron; Binhai Zhu
O(n\sqrt{n}\log^2n)
international symposium on algorithms and computation | 2012
Hee-Kap Ahn; Christian Knauer; Marc Scherfenberg; Lena Schlipf; Antoine Vigneron
expected time.
symposium on computational geometry | 2000
Hee-Kap Ahn; Otfried Cheong; Jiří Matoušek; Antoine Vigneron
Abstract We consider the problem of finding a k -median in a directed tree. We present an algorithm that computes a k -median in O (Pk 2 ) time where k is the number of resources to be placed and P is the path length of the tree. In the case of a balanced tree, this implies O (k 2 n log n) time, in a random tree O (k 2 n 3/2 ), while in the worst case O (k 2 n 2 ) . Our method employs dynamic programming and uses O (nk) space, while the best known algorithms for undirected trees require O (n 2 k) space.