#504 new
George Gibson

Monte Carlo methods

Reported by George Gibson | June 13th, 2018 @ 01:35 PM

It is used primarily in those tasks (assignments of introduction - go to article and in which the theoretically-likely description is admitted. This is explained by the naturalness of obtaining a result with some given probability in problems with probable content, as well as a significant simplification of the solution procedure. The random variable X is normally distributed and its mean square deviation is known.
In this case, the probability is the upper bound of the error.
Where n - the number of tests (played out values of X); t is the value of the Laplace function argument, in which, it is the known mean square deviation of X.

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