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October 18th, 2013, 10:03 AM
#1
Find approximate value fast, given a point cloud of data
So I have this Computational Fluid Dynamics data, it is a two dimensional point cloud. Anyone know any good algorithms for, given a point location (x,y), to find a value and to find this value fast?
Also any techniques for reducing the number of points, say for example I want to remove a point that is within 95% of the value of the closest three points?
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۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞
۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞۞
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