Computational Chemistry
Monte Carlo integration is a statistical technique used to estimate the value of an integral by randomly sampling points in the domain of the function. This method leverages the law of large numbers, allowing for approximation of complex integrals where traditional analytical methods may fail. By applying random sampling, it connects closely to numerical methods and serves as a powerful tool in Monte Carlo simulations, which are widely utilized in computational problems across various scientific fields.
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