Monte Carlo algorithm

The Monte Carlo algorithm is a method that uses random sampling to solve complex problems or estimate unknown values. It works by running many simulation trials with random inputs and then analyzing the results to find an approximate solution. This approach is particularly useful when traditional calculation methods are difficult or impossible. For example, it can predict the likelihood of certain outcomes in finance, physics, or engineering by mimicking real-world randomness. Overall, it leverages the power of probability and randomness to provide insights into complex systems efficiently.