Monte Carlo methods are a class of computational algorithms that rely on random sampling to obtain numerical results. They are used to solve problems that might be deterministic in principle but are often intractable due to complexity. The name "Monte Carlo" is derived from the famous Monte Carlo Casino in Monaco, highlighting the element of randomness involved in these methods.
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