Reduces the number of random points in a hypervolume
Many hypervolume algorithms have computational complexities that scale with the number of random points used to characterize a hypervolume (
@RandomUniformPointsThresholded). This value can be reduced to improve runtimes at the cost of lower resolution.
An object of class
A number in (0,1) describing the fraction of random points to keep.
A number describing the number random points to keep.
npoints (but not both) must be specified.
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