Monte Carlo Methods

Monte Carlo methods use random sampling to approximate solutions for problems that are difficult to solve analytically. They rely on the law of large numbers to estimate values through repeated simulation.

Example: Estimating the area of an irregular lake by randomly throwing darts at a map. They are used in financial risk assessment, weather forecasting, computer graphics, drug discovery, and reinforcement learning.