Monte Carlo Random Sampling
It is a computational technique that simulates complex scenarios and resolves complex problems by using random numbers. In instances where conventional mathematical approaches are impractical it employs numerous iterations of simulation and random sampling to estimate outcomes or probabilities.
Monte Carlo simulation is applied in various fields, including finance, engineering, physics, economics, and more. Common applications include risk assessment, option pricing, project management, and evaluating complex systems.