I\'ve been using the random_element()
function provided by SAGE to generate random integer partitions for a given integer (N
) that are a particular
I ran into a similar problem when I was trying to calculate the probability of the strong birthday problem.
First off, the partition function explodes when given only modest amount of numbers. You'll be returning a LOT of information. No matter which method you're using N = 10000 and S = 300 will generate ridiculous amounts of data. It will be slow. Chances are any pure python implementation you use will be equally slow or slower. Look to making a CModule.
If you want to try python the approach I took as a combination of itertools and generators to keep memory usage down. I don't seem to have my code handy anymore, but here's a good impementation:
http://wordaligned.org/articles/partitioning-with-python
EDIT:
Found my code:
def partition(a, b=-1, limit=365):
if (b == -1):
b = a
if (a == 2 or a == 3):
if (b >= a and limit):
yield [a]
else:
return
elif (a > 3):
if (a <= b):
yield [a]
c = 0
if b > a-2:
c = a-2
else:
c = b
for i in xrange(c, 1, -1):
if (limit):
for j in partition(a-i, i, limit-1):
yield [i] + j