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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 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