Improved upper bound on the stretch factor of delaunay triangulations

Author(s):  
Ge Xia
2018 ◽  
Vol 50 (01) ◽  
pp. 35-56 ◽  
Author(s):  
Nicolas Chenavier ◽  
Olivier Devillers

Abstract Let X := X n ∪ {(0, 0), (1, 0)}, where X n is a planar Poisson point process of intensity n. We provide a first nontrivial lower bound for the distance between the expected length of the shortest path between (0, 0) and (1, 0) in the Delaunay triangulation associated with X when the intensity of X n goes to ∞. Simulations indicate that the correct value is about 1.04. We also prove that the expected length of the so-called upper path converges to 35 / 3π2, yielding an upper bound for the expected length of the smallest path.


2012 ◽  
Vol 04 (02) ◽  
pp. 1250024 ◽  
Author(s):  
MIRELA DAMIAN ◽  
KRISTIN RAUDONIS

Yao and Theta graphs are defined for a given point set and a fixed integer k > 0. The space around each point is divided into k cones of equal angle, and each point is connected to a nearest neighbor in each cone. The difference between Yao and Theta graphs is in the way the nearest neighbor is defined: Yao graphs minimize the Euclidean distance between a point and its neighbor, and Theta graphs minimize the Euclidean distance between a point and the orthogonal projection of its neighbor on the bisector of the hosting cone. We prove that, corresponding to each edge of the Theta graph Θ6, there is a path in the Yao graph Y6 whose length is at most 8.82 times the edge length. Combined with the result of Bonichon et al., who prove an upper bound of 2 on the stretch factor of Θ6, we obtain an upper bound of 17.64 on the stretch factor of Y6.


2011 ◽  
Vol 44 (2) ◽  
pp. 104-109 ◽  
Author(s):  
Shiliang Cui ◽  
Iyad A. Kanj ◽  
Ge Xia

1993 ◽  
Vol 10 (2) ◽  
pp. 197-213 ◽  
Author(s):  
Herbert Edelsbrunner ◽  
Tiow Seng Tan

Author(s):  
Nicolas Bonichon ◽  
Cyril Gavoille ◽  
Nicolas Hanusse ◽  
Ljubomir Perković

2011 ◽  
Vol 44 (2) ◽  
pp. 121-127 ◽  
Author(s):  
Prosenjit Bose ◽  
Luc Devroye ◽  
Maarten Löffler ◽  
Jack Snoeyink ◽  
Vishal Verma

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