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Part of book or chapter of book . 2006 . Peer-reviewed
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Transversal Structures on Triangulations, with Application to Straight-Line Drawing

Authors: Éric Fusy;

Transversal Structures on Triangulations, with Application to Straight-Line Drawing

Abstract

We define and investigate a structure called transversal edge-partition related to triangulations without non empty triangles, which is equivalent to the regular edge labeling discovered by Kant and He. We study other properties of this structure and show that it gives rise to a new straight-line drawing algorithm for triangulations without non empty triangles, and more generally for 4-connected plane graphs with at least 4 border vertices. Taking uniformly at random such a triangulation with 4 border vertices and n vertices, the size of the grid is almost surely $\frac{11}{27}n \times \frac{11}{27}n$up to fluctuations of order $\sqrt{n}$, and the half-perimeter is bounded by n–1. The best previously known algorithms for straight-line drawing of such triangulations only guaranteed a grid of size $(\lceil n/2\rceil - 1)\times \lfloor n/2 \rfloor$. Hence, in comparison, the grid-size of our algorithm is reduced by a factor $\frac{5}{27}$, which can be explained thanks to a new bijection between ternary trees and triangulations of the 4-gon without non empty triangles.

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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!
7
Average
Top 10%
Top 10%
bronze