I like these ideas for varying sigma and keeping down the computational cost of
detecting failure of starlike
win regions.
Let sigma1 and sigma2, respectively, be the distance between the two closest
and the distance between
the two most widely separated candidates. Then a range of values bet
On Thu, Dec 4, 2008 at 1:18 AM, <[EMAIL PROTECTED]> wrote:
> Imagine starting with a non-normal distribution with a sharp, infinite
> central peak at the origin of a coordinate
> system, say with a probability density function given by rho = (1/r)/e^r,
> where r is the distance from the
> origin
http://bolson.org/voting/sim_one_seat/20081203/
Tight population grouping at the left moving to widely spread on the
right.
Brian Olson
http://bolson.org/
(Sent from my iPhone)
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