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Apr 2, 2011 at 21:30 history edited prelic CC BY-SA 2.5
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Apr 1, 2011 at 16:31 vote accept prelic
Apr 1, 2011 at 8:52 answer added Douglas Zare timeline score: 4
Apr 1, 2011 at 8:36 answer added Gerhard Paseman timeline score: 0
Apr 1, 2011 at 7:35 history edited prelic CC BY-SA 2.5
added 143 characters in body
Apr 1, 2011 at 7:32 comment added prelic Excellent insight, I didn't even think about that because of the way I was doing the simulation, but that's certainly another constraint
Apr 1, 2011 at 6:54 comment added Douglas Zare Of course, requiring the difference in counts to be $0$ or $1$ only reduces the number by about a factor of $11$.
Apr 1, 2011 at 6:47 comment added Douglas Zare Do you really need to consider boards with $10$ noughts and $5$ crosses?
Apr 1, 2011 at 5:50 comment added prelic Thanks sir, that was the next step if I didn't get an approximation on here. If you change your comment to an answer I'll give it the check.
Apr 1, 2011 at 5:30 comment added Logan M If all you need is an estimate, I'd run a Monte Carlo code. Something like: 1) Randomly generate a position 2) Check if it's a valid position or not 3) Check under what rotations, reflections the position is invariant. 4) Repeat Once you have a lot of trials (a computer can easily do a few billion), sum the reciprocals of the numbers from step 3 of those positions which were valid. Then estimate from this the probability that a randomly chosen configuration fits your criteria, and multiply by the number of positions (3^125), for a decent estimate.
Apr 1, 2011 at 5:09 history asked prelic CC BY-SA 2.5