Euclidean minimum spanning tree: Difference between revisions

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===Two dimensions===
A faster approach to finding the minimum spanning tree of planar points uses the property that it is a subgraph of the Delaunay triangulation:
# ComputeComputation of the Delaunay triangulation, which can be done in <math>O(n\log n)</math> time. Because the Delaunay triangulation is a [[planar graph]], it has at most <math>3n-6</math> edges.
# LabelLabeling of each edge with its (squared) length.
# RunRunning a graph minimum spanning tree algorithm. Since there are <math>O(n)</math> edges, this requires <math>O(n\log n)</math> time using any of the standard minimum spanning tree algorithms.
The result is an algorithm taking <math>O(n\log n)</math> time,{{r|shahoe}} optimal in certain models of computation (see [[#Lower bound|below]]).