Journal of Algorithms · 1994 · 185 citations · 27 references
ComputingComputer ScienceMathematicsAlgorithmsComputational GeometryGeometryConvex GeometryGeometric OptimizationGeometry ProcessingLine Segment IntersectionMetric GeometrySearching AlgorithmsComputational Geometry FoundationsHausdorff DistanceMinimum DistanceSegment-intersection Algorithms
We present several applications in computational geometry of Megiddo′s parametric searching technique. These applications include: (1) Finding the minimum Hausdorff distance in the Euclidean metric between two polygonal regions under translation; (2) Computing the biggest line segment that can be placed inside a simple polygon; (3) Computing the smallest width annulus that contains a given set of given points in the plane; (4) Given a set of n points in 3-space, finding the largest radius r such that if we place a ball of radius r around each point, no segment connecting a pair of points is intersected by a third ball. Besides obtaining efficient solutions to all these problems (which, in every case, either improve considerably previous solutions or are the first nontrivial solutions to these problems), our goal is to demonstrate the versatility of the parametric searching technique.
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Algorithms for Reporting and Counting Geometric Intersections
Bentley, Ottmann · IEEE Transactions on Computers · 1979 · 999 citations
Applications of random sampling in computational geometry, II
Kenneth L. Clarkson · 1988 · 943 citations · Full text
Linear Programming in Linear Time When the Dimension Is Fixed
Nimrod Megiddo · Journal of the ACM · 1984 · 676 citations · Full text