The power of geometric duality
BIT - Ellis Horwood series in artificial intelligence
Topologically sweeping an arrangement
STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
Constructing arrangements of lines and hyperplanes with applications
SIAM Journal on Computing
Finding the visibility graph of a simple polygon in time proportional to its size
SCG '87 Proceedings of the third annual symposium on Computational geometry
On Finding the Maxima of a Set of Vectors
Journal of the ACM (JACM)
Computing the largest empty convex subset of a set of points
SCG '85 Proceedings of the first annual symposium on Computational geometry
ACM SIGACT News
New algorithms for minimum area k-gons
SODA '92 Proceedings of the third annual ACM-SIAM symposium on Discrete algorithms
Largest Empty Rectangle among a Point Set
Proceedings of the 19th Conference on Foundations of Software Technology and Theoretical Computer Science
Largest empty rectangle among a point set
Journal of Algorithms
A parallel algorithm for constructing reduced visibility graph and its FPGA implementation
Journal of Systems Architecture: the EUROMICRO Journal
Finding minimum area simple pentagons
Operations Research Letters
Smart hill climbing for agile dynamic mapping in many-core systems
Proceedings of the 50th Annual Design Automation Conference
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A key problem in computational geometry is the identification of subsets of a point set having particular properties. We study this problem for the properties of convexity and emptiness. We show that finding empty triangles is related to the problem of determining pairs of vertices that see each other in a star-shaped polygon. A linear time algorithm for this problem which is of independent interest yields an optimal algorithm for finding all empty triangles. This result is then extended to an algorithm for finding empty convex r-gons (r 3) and for determining a largest empty convex subset. Finally, extensions to higher dimensions are mentioned.