ABSTRACT
Monte Carlo simulation is a common simulation method that a modeler can use, usually with the aid of a computer. Monte Carlo simulation is a preferred type which is implemented using random numbers. There are many serious mathematical concerns associated with the construction and interpretation of Monte Carlo simulations. A Monte Carlo simulation model is one that uses random numbers to simulate behavior of a situation. The Monte Carlo simulation technique for finding areas can be easily extended to multiple dimensions. A principal advantage of Monte Carlo simulation is the ease with which it can be used to approximate the behavior of very complex systems. Many undergraduate mathematical science, engineering, and operations research programs require or offer a course involving simulation. Serious study of simulation must, of course, include a study of random number generators since a bad generator will provide output leading a modeler to make poor conclusions.
