Persalys also provides the possibility of creating a design of experiments. Designs of experiments allows you to visualize the behaviour of your model thanks to scatter plots but also to build a metamodel that will then replace a costly physical model.
Several types of designs of experiments are provided:
- Full factorial design
- User-defined design
- Probabilistic design
- Imported design from a file
- The LHS design (Latin Hypercube Sampling), optimised or not
- Monte-Carlo design
- Quasi-Monte-Carlo design
In addition to a summary of the statistic values of the sample, numerous displays of the data are available:
- Probability density function or cumulative density function curve
- Box plots
- Parallel coordinates plots (cobweb plot)
- Scatter plots 2d
For more information on how to create a design of experiments, refer to the following video: