Michael Andrews wrote:
> 
> [...]
> 
> This is why you not only need an even sample distribution but also to
> have the distribution as even as possible over the first N samples of
> the distribution where N can be any number up to the maximum possible
> number of samples.

Exactly, like i said in

news://news.povray.org/3DE76813.8B1CB162%40gmx.de

> For something like a repulsion algorithm which sets the position of all
> the sample points at once you would then need to choose the sampling
> order carefully to get a good distribution for any number of points.

Yes, that's the idea how to do it.  Generate a number of point using an
arbitrary algorithm (but chosen for a uniform but non-regular
distribution) and then sort them for maximum uniformity at lower sample
counts too.  I can't think think of a different method that does not
produce a regular distribution.

Christoph

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