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    Monte Carlo method
    /mɒntɪˈkɑːləʊ/

    noun

    • 1. a technique in which a large quantity of randomly generated numbers are studied using a probabilistic model to find an approximate solution to a numerical problem that would be difficult to solve by other methods.

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