while neither a normal distribution nor integer
based, the following is relatively fast and may
be useful for you (you might need to slide things
around so that you get the maximum value
where you want it and ignore the rest)
check out the poisson distribution:
http://en.wikipedia.org/wiki/Poisso
Mike Hill wrote:
The essence of my idea is that I want a psuedo-random algorithm which
takes as a parameter a 'degree-of-randomness' value. Something along
these lines:
int choose( int range, int degree-of-randomness)
Returns an integer in [0-range] distributed depending on the value of
de
In message <[EMAIL PROTECTED]>, Mike Hill
<[EMAIL PROTECTED]> writes
Folks...
First, let me say how much pleasure my reading of this list has given
me. I love that folks are out there cranking on this problem. Truly,
it's one of the great problems.
I have a rather strange request. I am a
At 07:03 PM 11/6/2007, you wrote:
...
Returns an integer in [0-range] distributed depending on the value
of degree-of-randomness. At degree-of-randomness 100, I want the
distribution to be uniform. At degree-of-randomness 0, I want the
distribution to be -- I don't even know what to call th
On Tue, 6 Nov 2007, Mike Hill wrote:
int choose( int range, int degree-of-randomness)
Returns an integer in [0-range] distributed depending on the value of
degree-of-randomness. At degree-of-randomness 100, I want the distribution
to be uniform. At degree-of-randomness 0, I want the distr
It sounds like you're frustrated, so here's a few lines of C code
that'll do about what you describe. Note that the use of large values
for the standard deviation will make the code go very slow from
repetitive looping. The divide by 10 is to make it not be too slow with
a degree of randomness of
Folks...
First, let me say how much pleasure my reading of this list has given
me. I love that folks are out there cranking on this problem. Truly,
it's one of the great problems.
I have a rather strange request. I am a statistical idiot, in both
senses of 'statistical'. After scrolling
