[1][2] Simulation is an approach which can be used to model large, complex stochastic systems for forecasting or performance measurement purposes.
Other modelling techniques may impose material mathematical restrictions on the process, and also require multiple intrinsic assumptions to be made.
Representation of discrete simulations is performed using state equations that contain all the variables influencing the system.
Continuous simulations are usually modelled using differential equations that track the state of the system with reference to time.
Methods to increase the accuracy of output data include: repeatedly performing simulations and comparing results, dividing events into batches and processing them individually, and checking that the results of simulations conducted in adjacent time periods “connect” to produce a coherent holistic view of the system.