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Computational geometry.
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The article was published on 1978-01-01 and is currently open access. It has received 366 citations till now. The article focuses on the topics: Computational geometry.read more
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Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric
TL;DR: In this paper , a k-nearest neighbors approach based on the selection of multiple-parent nodes with respect to each of the given earthquakes is proposed, which can be regarded as a natural extension of the conventional correlation-metric method based on selection of a single-parent node.
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Shortest connection networks and some generalizations
TL;DR: In this paper, the basic problem of interconnecting a given set of terminals with a shortest possible network of direct links is considered, and a set of simple and practical procedures are given for solving this problem both graphically and computationally.
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An efficient algorith for determining the convex hull of a finite planar set
TL;DR: P can be chosen to I&E the centroid oC the triangle formed by X, y and z and Express each si E S in polar coordinates th origin P and 8 = 0 in the direction of zu~ arhitnry fixed half-line L from P.
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A Separator Theorem for Planar Graphs
TL;DR: In this paper, it was shown that the vertices of a planar graph can be partitioned into three sets A, B, C such that no edge joins a vertex in A with another vertex in B, neither A nor B contains more than ${2n/3}$ vertices, and C contains no more than $2.
A separator theorem for planar graphs
TL;DR: In this paper, it was shown that the vertices of a planar graph can be partitioned into three sets A,B,C such that no edge joins a vertex in A with another vertex in B, neither A nor B contains more than 2n/3 vertices, and C contains no more than $2.
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Applications of a Planar Separator Theorem
TL;DR: Any n-vertex planar graph has the property that it can be divided into components of roughly equal size by removing only O(√n) vertices, and this separator theorem in combination with a divide-and-conquer strategy leads to many new complexity results for planar graphs problems.