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Computational Geometry
Article . 2019 . Peer-reviewed
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Shortcuts for the circle

Authors: Sang Won Bae 0001; Mark de Berg; Otfried Cheong; Joachim Gudmundsson; Christos Levcopoulos;

Shortcuts for the circle

Abstract

Let $C$ be the unit circle in $\mathbb{R}^2$. We can view $C$ as a plane graph whose vertices are all the points on $C$, and the distance between any two points on $C$ is the length of the smaller arc between them. We consider a graph augmentation problem on $C$, where we want to place $k\geq 1$ \emph{shortcuts} on $C$ such that the diameter of the resulting graph is minimized. We analyze for each $k$ with $1\leq k\leq 7$ what the optimal set of shortcuts is. Interestingly, the minimum diameter one can obtain is not a strictly decreasing function of~$k$. For example, with seven shortcuts one cannot obtain a smaller diameter than with six shortcuts. Finally, we prove that the optimal diameter is $2 + Θ(1/k^{\frac{2}{3}})$ for any~$k$.

An extended abstract appeared in ISAAC 2017

Countries
Germany, Netherlands
Keywords

Computational Geometry (cs.CG), FOS: Computer and information sciences, Graph diameter, graph augmentation, shortcut, Geometric network, Graph augmentation problem, Computational geometry, Shortcut, Circle, Diameter, Mathematics - Metric Geometry, Computer graphics; computational geometry (digital and algorithmic aspects), FOS: Mathematics, diameter, circle, Graph augmentation, Metric Geometry (math.MG), graph diameter, geometric network, 004, Graph theory (including graph drawing) in computer science, Computer Science - Computational Geometry, graph augmentation problem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid