Abstract
Consider a pair of plane straight-line graphs whose edges are colored red and blue, respectively, and let n be the total complexity of both graphs. We present a \(O(n\log {n})\)-time O(n)-space technique to preprocess such a pair of graphs, that enables efficient searches among the red-blue intersections along edges of one of the graphs. Our technique has a number of applications to geometric problems. This includes: (1) a solution to the batched red-blue search problem [Dehne et al. 2006] in \(O(n\log {n})\) queries to the oracle; (2) an algorithm to compute the maximum vertical distance between a pair of 3D polyhedral terrains, one of which is convex, in \(O(n\log {n})\) time, where n is the total complexity of both terrains; (3) an algorithm to construct the Hausdorff Voronoi diagram of a family of point clusters in the plane in \(O((n+m)\log ^3{n})\) time and \(O(n+m)\) space, where n is the total number of points in all clusters and m is the number of crossings between all clusters; (4) an algorithm to construct the farthest-color Voronoi diagram of the corners of n disjoint axis-aligned rectangles in \(O(n\log ^2{n})\) time; (5) an algorithm to solve the stabbing circle problem for n parallel line segments in the plane in optimal \(O(n\log {n})\) time. All these results are new or improve on the best known algorithms.
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Iacono, J., Khramtcova, E., Langerman, S. (2017). Searching Edges in the Overlap of Two Plane Graphs. In: Ellen, F., Kolokolova, A., Sack, JR. (eds) Algorithms and Data Structures. WADS 2017. Lecture Notes in Computer Science(), vol 10389. Springer, Cham. https://doi.org/10.1007/978-3-319-62127-2_40
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DOI: https://doi.org/10.1007/978-3-319-62127-2_40
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