[SciPy-Dev] Poisson Disk Sampling

[Stefan van der Walt]

We have a few other schemes here:

https://github.com/fperez/spheredwi/blob/master/src/point_dist.py

And charged particles can be found in DiPy.

Not the sampling you mention, but perhaps helpful in that context.

Stéfan

On October 17, 2018 17:43:27 Robert Kern <robert.kern at gmail.com> wrote:
> This article describes a new quasirandom scheme that is easy and efficient 
> to implement, and works nicely on the surface of a sphere through 
> transformation:
>
>  http://extremelearning.com.au/unreasonable-effectiveness-of-quasirandom-sequences/
>
> The transformation should be applicable to any (quasi)random scheme that 
> generates numbers uniformly over [0,1]^2.
>
> On Sun, Oct 14, 2018 at 11:20 AM Phillip Feldman 
> <phillip.m.feldman at gmail.com> wrote:
> Does anyone have code that does efficient subrandom sampling of the surface 
> of a sphere?  I'm looking, e.g., for an implementation of the algorithm in 
> https://www.cs.ubc.ca/~rbridson/docs/bridson-siggraph07-poissondisk.pdf, or 
> something similar.
>
> Thanks!
>
> Phillip
>
>
>
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> --
> Robert Kern
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