On Saturday, 20 February 2016 at 14:01:22 UTC, Andrei
Alexandrescu wrote:
Do we have a good quality converter of uniform numbers to
Gaussian-distributed numbers around? -- Andrei
Forth Engineering Practice™ is to add a few uniform distributions
together... http://www.colorforth.com/e-x2.htm Ac
implement as a
function, no
questions asked), the normal distribution is best implemented
as a range
which keeps some state. So the
reference-type/non-reference-type issues
start becoming a factor.
Would it work to define Gaussian generators as regular
generators (same as the existing ones
On Friday, 26 February 2016 at 20:15:10 UTC, Andrei Alexandrescu
wrote:
Would it work to define Gaussian generators as regular
generators (same as the existing ones), which keep the uniform
engine as a member?
Assuming that the uniform engine was uniquely and only used by
that Gaussian genera
On 2/26/16 2:32 PM, Joseph Rushton Wakeling wrote:
Yup. The basic problem of getting this stuff into phobos are the
architectural problems discussed in that talk. Unlike uniform
distribution (which is straightforward to implement as a function, no
questions asked), the normal distribution is
architectural problems discussed in that talk. Unlike uniform
distribution (which is straightforward to implement as a
function, no questions asked), the normal distribution is best
implemented as a range which keeps some state. So the
reference-type/non-reference-type issues start becoming a
On Friday, 26 February 2016 at 18:23:41 UTC, Andrei Alexandrescu
wrote:
On 02/20/2016 09:06 AM, Edwin van Leeuwen wrote:
On Saturday, 20 February 2016 at 14:01:22 UTC, Andrei
Alexandrescu wrote:
Do we have a good quality converter of uniform numbers to
Gaussian-distributed numbers around? -- An
On 02/20/2016 09:06 AM, Edwin van Leeuwen wrote:
On Saturday, 20 February 2016 at 14:01:22 UTC, Andrei Alexandrescu wrote:
Do we have a good quality converter of uniform numbers to
Gaussian-distributed numbers around? -- Andrei
There is one in dstats:
https://github.com/DlangScience/dstats/blo
On 20.02.2016 15:01, Andrei Alexandrescu wrote:
Do we have a good quality converter of uniform numbers to
Gaussian-distributed numbers around? -- Andrei
I don't know about quality, but the following is in Phobos:
https://dlang.org/phobos/std_mathspecial.html#.normalDistributionInverse
On Saturday, 20 February 2016 at 14:01:22 UTC, Andrei
Alexandrescu wrote:
Do we have a good quality converter of uniform numbers to
Gaussian-distributed numbers around? -- Andrei
There is this, from years ago:
https://github.com/DlangScience/dstats/blob/master/source/dstats/random.d#L266
and
On Saturday, 20 February 2016 at 14:01:22 UTC, Andrei
Alexandrescu wrote:
Do we have a good quality converter of uniform numbers to
Gaussian-distributed numbers around? -- Andrei
Not sure if good quality but:
https://d-gamedev-team.github.io/gfm/gfm.math.simplerng.html
Maybe not good quality, but I like this one for my ludic purposes:
https://github.com/lmbarros/sbxs_dlang/blob/master/src/sbxs/rand/rng.d#L283
It is an implementation of an approximation algorithm that used to be
described here:
http://home.online.no/~pjacklam/notes/invnorm/
But appears to
On Saturday, 20 February 2016 at 14:01:22 UTC, Andrei
Alexandrescu wrote:
Do we have a good quality converter of uniform numbers to
Gaussian-distributed numbers around? -- Andrei
There is one in dstats:
https://github.com/DlangScience/dstats/blob/master/source/dstats/random.d#L266
Do we have a good quality converter of uniform numbers to
Gaussian-distributed numbers around? -- Andrei
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