Bounding and computing obstacle numbers of graphs
Martin Balko, Steven Chaplick, Robert Ganian, Siddharth Gupta, Michael, Hoffmann, Pavel Valtr, Alexander Wolff

TL;DR
This paper improves lower bounds on the obstacle number of graphs, provides complexity results for computing obstacle numbers, and explores the relationship between graph drawings and obstacle representations.
Contribution
It establishes stronger lower bounds on obstacle numbers for simple and convex polygons, solves a conjecture on graph counts, and analyzes computational complexity of obstacle representations.
Findings
Lower bound of (n/loglog n) for simple polygons
Lower bound of (n) for convex polygons
NP-hardness of deciding obstacle representations with a given polygon
Abstract
An obstacle representation of a graph consists of a set of pairwise disjoint simply-connected closed regions and a one-to-one mapping of the vertices of to points such that two vertices are adjacent in if and only if the line segment connecting the two corresponding points does not intersect any obstacle. The obstacle number of a graph is the smallest number of obstacles in an obstacle representation of the graph in the plane such that all obstacles are simple polygons. It is known that the obstacle number of each -vertex graph is [Balko, Cibulka, and Valtr, 2018] and that there are -vertex graphs whose obstacle number is [Dujmovi\'c and Morin, 2015]. We improve this lower bound to for simple polygons and to for convex polygons. To obtain these stronger bounds, we improve known estimates on the…
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