A simple example how a simulation with random elements supports your decision-making — Named after the famous casino in Monaco, a Monte Carlo simulation employs random experiments to gain numerical solutions in physics, mathematics, biology, finance and many other disciplines. The method helps understanding and evaluating complex problems better and can provide results that are otherwise hard or even impossible to obtain.
