Fast algorithms for finding nearest common ancestors
SIAM Journal on Computing
Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
Classes of graphs which approximate the complete Euclidean graph
Discrete & Computational Geometry
A linear-time randomized algorithm for the bounded Voronoi diagram of a simple polygon
SCG '93 Proceedings of the ninth annual symposium on Computational geometry
Quasi-greedy triangulations approximating the minimum weight triangulation
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Efficiency of a Good But Not Linear Set Union Algorithm
Journal of the ACM (JACM)
A Fast Heuristic for Approximating the Minimum Weight Triangulation (Extended Abstract)
SWAT '96 Proceedings of the 5th Scandinavian Workshop on Algorithm Theory
The First Subquadratic Algorithm for Complete Linkage Clustering
ISAAC '95 Proceedings of the 6th International Symposium on Algorithms and Computation
Computing Hierarchies of Clusters from the Euclidean Minimum Spanning Tree in Linear Time
Proceedings of the 15th Conference on Foundations of Software Technology and Theoretical Computer Science
ESA '95 Proceedings of the Third Annual European Symposium on Algorithms
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
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The quadtree in this paper is a variant in which two nodes are threaded (linked) if they represent equal-sized squares that are sufficiently close to each other. Given the Delaunay triangulation, it is shown that the threaded quadtree can be computed in linear time and space. It is also described how the threaded quadtree can be used to answer certain types of non-trivial range queries in constant time per query, which has applications, for example, in computing the greedy triangulation, the complete linkage clustering, and a constant-factor approximation of minimum weight triangulation. These queries ask for links to and information concerning the contents of growing ranges, including values of functions based on these contents.