Numerical Analysis Questions
The concept of Monte Carlo methods in Numerical Analysis involves using random sampling and statistical techniques to solve mathematical problems. It is a computational approach that relies on generating random numbers to approximate solutions or estimate probabilities. Monte Carlo methods are particularly useful when dealing with complex systems or problems that cannot be solved analytically. By simulating random events or sampling from a probability distribution, Monte Carlo methods provide numerical approximations and help analyze the behavior of mathematical models.