Monte Carlo Algorithms are a class of computational algorithms that rely on repeated random sampling to obtain numerical results, often used to solve problems that might be deterministic in principle. These algorithms are particularly useful for simulating systems with many coupled degrees of freedom, such as fluids, disordered materials, and financial instruments.