Hi.
On Wed, 30 Jan 2013 11:54:50 +0000, Sean Owen wrote:
> Hello all, I have a small proposal to improve the speed of
> UnitSphereRandomVectorGenerator. This class picks a random point on
> the unit nsphere  a unit vector, chosen uniformly from all
> possible
> directions.
>
> It does so using a rejection process  generates a random point in
> the unit ncube (well, with side lengths 2) and rejects any points
> outside the unit nsphere, then normalizes the length. This is
> correct
> and works well at low dimension. However the volume of the unit
> nsphere compared to the unit ncube drops exponentially. This method
> eventually takes an extraordinary amount of time when dimensions get
> past about 20, since virtually no samples are usable.
>
> For example, here is the time taken to make pick 10 points as a
> function of dimension up to 20:
>
> 1 : 11
> 2 : 1
> 3 : 0
> 4 : 1
> 5 : 0
> 6 : 1
> 7 : 1
> 8 : 17
> 9 : 4
> 10 : 3
> 11 : 13
> 12 : 32
> 13 : 15
> 14 : 41
> 15 : 220
> 16 : 897
> 17 : 1770
> 18 : 7426
> 19 : 48457
> 20 : 122647
> ...
>
> It's equally correct, and much faster, to generate these points by
> picking n standard Gaussians and normalizing. This method takes
> negligible time even into thousands of dimensions.
>
> Is this nontrivial enough that I might propose a patch? I wanted to
> ask users first.
Patch certainly welcome!
Also, please open a ticket on the bugtracking system.
Thanks,
Gilles

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