Monte Carlo analysis is a computational technique that uses random sampling to obtain numerical results. It's commonly used in mathematical problems that are too complex to solve analytically. It involves generating numerous random inputs based on probability distributions, running a simulation or model for each set of inputs, and then aggregating the results to estimate the outcome.
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