Dear Daniel,
the GNU Scientific Library (GSL) includes pseudo random number
generation
methods.
There is a Ruby binding for this library (Ruby-GSL).
Best regards,
Axel
On 11/30/05, [email protected] [email protected] wrote:
the GNU Scientific Library (GSL) includes pseudo random number generation
methods.
There is a Ruby binding for this library (Ruby-GSL).
Just remember that the GSL is under the GNU GPL, which makes it
inappropriate for some applications.
-austin
On Nov 30, 2005, at 1:28 AM, [email protected] wrote:
the GNU Scientific Library (GSL) includes pseudo random number
generation
methods.
There is a Ruby binding for this library (Ruby-GSL).
Try this, if you don’t need high performance…
def rand_normal_float(mean = 0.0, variance = 1.0)
sum 12 random numbers uniformly distributed in [0,1]
sum = 0.0
12.times { sum += Kernel.rand }
adjust for mean and variance
(variance.to_f * (sum - 6.0)) + mean.to_f
end
–Steve
Hi!
At Thu, 1 Dec 2005 01:01:39 +0900, Stephen W. wrote:
Try this, if you don’t need high performance…
def rand_normal_float(mean = 0.0, variance = 1.0)
sum 12 random numbers uniformly distributed in [0,1]
sum = 0.0
12.times { sum += Kernel.rand }adjust for mean and variance
(variance.to_f * (sum - 6.0)) + mean.to_f
end
My mathematical intuition says that the Gaussian distribution is
achieved as the limit of the above replacing 12 by N (and 6 by N/2)
and then computing the limit for N versus infinity. Without knowing
the quality of the approximation of using 12 in place of infinity the
approximation is of no practical value. Besides that summing up
pseudo-random numbers may decrease their randomness.
Josef ‘Jupp’ Schugt
Take a look at this website. Shouldn’t be hard at all to implement in
ruby.
_Kevin