UQ[py]Lab 1.0.0 is finally out!
New in this release:
Don't forget to check out the new user manuals, and examples, too!
Major new features:
Make sure to also check out the new manuals and examples on Active Learning Reliability, Inference and basic modelling!
Major new features:
Make sure to also check out the new Reliability Analysis manual and examples!
Polynomial chaos expansions (PCE), one of the most powerful and versatile surrogate models available today
Sensitivity analysis can identify the driving factors that most influence the response of a model
Probabilistic modelling lies at the core of uncertainty quantification. Full support for complex probabilistic models based on copula and marginal representation. Powerful data-driven inference module.
Chair of Risk, Safety and Uncertainty Quantification
Stefano Franscini-Platz 5
CH-8093 Zurich
Switzerland