Proxel-Based Simulation: Theory and Applications

3 Discrete stochastic models are widely used to describe current engineer4 ing and logistics problems. The stochastic simulation of such models can get 5 very expensive if the models are stiff or rare system events are of interest. 6 Proxels are a state space-based simulation technique that does not have these 7 drawbacks. They implicitly use a discrete-time Markov chain to determin8 istically discover all possible system states at discrete points in time. Some 9 applications have shown that Proxels are especially suitable for the analysis 10 of small stiff models, and can outperform stochastic simulation techniques 11 in that area. 12