1. Monte Carlo simulations/methods
: can be useful in all kinds of estimating situations
- see how many games worked out and make an estimate of the answer
=> hence, the probability of completing a game
=> The more you play, the more accurate your result
- Given a system which you can't or don't want to evaluate analytically, you can estimate properties by
* generating a set of input values (to serve as random numbers)
* running the system on each
* looking at the (distribution of) the results
http://blog.minitab.com/blog/understanding-statistics/monte-carlo-is-not-as-difficult-as-you-think
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