Monte Carlo analysis is defined as a simulation process that generates probabilities of risk using a mathematical model. The method provides a range of possible results based on the varying parameters that are measured in the analysis. The method was developed by a scientist developing the atomic bomb during World War II.
Monte Carlo analysis is about generating predictive situational results based on distributing factors that may influence the outcome of the process. It takes into account the maximum and minimum threshold of each parameter and randomly iterates the simulation with different values.
When Do You Need Monte Carlo Analysis in PCB Design?