Monte Carlo Simulation
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چکیده
Monte Carlo simulation is named after the city of Monte Carlo in Monaco, which is famous for gambling such as roulette, dice, and slot machines. Since the simulation process involves generating chance variables and exhibits random behaviors, it has been called Monte Carlo simulation. Monte Carlo simulation is a powerful statistical analysis tool and widely used in both non-engineering fields and engineering fields. It was initially used to solve neutron diffusion problems in atomic bomb work at Alamos Scientific Laboratory in 1944. Monte Carlo simulation has been applied to diverse problems ranging from the simulation of complex physical phenomena such as atom collisions to the simulation of traffic flow and Dow Jones forecasting. Monte Carlo is also suitable for solving complex engineering problems because it can deal with a large number of random variables, various distribution types, and highly nonlinear engineering models.
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