nmoore at physics.umn.edu
Tue Apr 26 21:42:59 CEST 2005
I'm working on a monte-carlo simulation which requires the calculation
of probability for rather high energy levels, Boltzmann probability
defined, exp(-u/T). The quantity u/T is occasionally very large, and
in some cases always large. I'd like to use GMP rational numbers
(mpq_t) to represent the probability and partition function of the
While the standard function, exp(), doesn't seem to exist for rational
numbers, I see that an alternative form, mpq_div_2exp() does exist. I
feel like there should be some way to represent exp(-a) as y / 2^x, but
with the constraint that x be an integer the best method of
representation isn't immediately obvious to me.
At present I can write down that,
-a = -x ln(2) + ln(y).
and then estimate x by ignoring y,
x = a / ln(2)
and then round down x, and find the correction y supplies,
x = floor(x);
y = exp(-a + x*ln(2)).
Then with base 2 representation I can specify the weight (y converted
mpq_div_2exp(weight, y, x)
I think this will work, but I worry it is too primitive. Has anyone on
the list addressed this problem differently?
University of Minnesota, Physics
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