The Stochastic element provides the means for defining a probability distribution in GoldSim. Because Stochastic elements are probability distributions, they allow you to explicitly represent uncertainty in the input data for your model. GoldSim uses the Monte Carlo method to sample Stochastic elements in order to carry out probabilistic simulations.
This example model provides an illustration of some of the basics of using a Stochastic element.
By default, Stochastic elements are sampled once per realization.
Iterate the model over many realizations to sample from a Normal Distribution (many other distributions to choose from) one time per realization and you will see the random numbers generated by GoldSim.
Take advantage of the power of GoldSim by resampling a distribution in time.
To Open the Model File:
- Start GoldSim
- Click on the File and select Open Example...
- Browse to General Examples --> Stochastic
- Select the file called BasicStochastic.gsm