On Wed, Jan 30, 2013 at 4:56 PM, Gilles <gilles@harfang.homelinux.org>wrote:
> 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
>> UnitSphereRandomVectorGenerato**r. 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.
>
ohoh, I had the reply open and was distracted, and in the mean time you
already responded ;).
Thomas
