x
Our website uses cookies. By using the website you agree ot its use. More information can be found in our privacy policy.

Probabilistic Analysis and Optimization

This component can be used to perform probabilistic analysis and optimization. A deterministic analysis (or any subflow) can be easily converted to probabilistic analysis by wrapping it inside a probabilistic component. This component adds uncertainties to the selected inputs and all the responses. The user can perform various kinds of non-deterministic analyses such as reliability-based optimization, robust optimization, n-sigma design, etc.

probabilistic_min.png
Probabilistic Modeling

The following sampling techniques are available:

  • Direct Monte Carlo Sampling
  • Latin Hypercube Sampling
  • Mean Value Approximation Method
  • Approximate Direct Monte Carlo Sampling
  • Approximate Latin Hypercube Sampling