Concept
Monte Carlo algorithms are a class of computational algorithms that rely on repeated random sampling to obtain numerical results, often used when it is difficult or impossible to compute an exact result with a deterministic algorithm. They are particularly useful for simulating complex systems and processes, such as in physics, finance, and machine learning, where they provide approximate solutions with quantifiable statistical error margins.
Relevant Degrees
3