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Packages that use Delaunay | |
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visad |
Uses of Delaunay in visad |
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Subclasses of Delaunay in visad | |
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class |
DelaunayClarkson
DelaunayClarkson represents an O(N*logN) method with high overhead to find the Delaunay triangulation of a set of samples of R^DomainDimension. |
class |
DelaunayFast
DelaunayFast is a method of finding an imperfect triangulation or tetrahedralization of a set of samples of R^2 or R^3. |
class |
DelaunayOverlap
DelaunayOverlap quickly constructs a triangulation of a series of partially overlapping two-dimensional gridded sets. |
class |
DelaunayWatson
DelaunayWatson represents an O(N^2) method with low overhead to find the Delaunay triangulation or tetrahedralization of a set of samples of R^2 or R^3. |
Methods in visad that return Delaunay | |
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static Delaunay |
Delaunay.factory(float[][] samples,
boolean exact)
The factory class method heuristically decides which extension to the Delaunay abstract class to use in order to construct the fastest triangulation, and calls that extension, returning the finished triangulation. |
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