UQLabBeta V0.92 ➜ UQLabModules V1.0.0 stable
Stable release of UQLabModules.
New features
- Metamodeling tool:
- Canonical Low-Rank approximations now available (developed and documented by Dr. K. Konakli and C. Mylonas from ETH Zurich)
- Polynomial-Chaos-Kriging now available (developed and documented by Dr. R. Schöbi from ETH Zurich)
- Open source release of the scientific code with extensive command-line help (UQLab Dev Team)
Enhancements
- General:
-
Constant
variables are now supported throughout UQLab modules. Most algorithms are now aware of constant variables and will exclude them to improve computational efficiency (UQLab Dev Team)
-
- Input module:
- Several input marginals added to the existing ones (E. Dodoula and C. Lataniotis)
- Polynomial Chaos Expansions module:
- Orthogonal Matching Pursuit added to the regression methods (M. Berchier)
- Polynomials orthogonal to arbitrary distributions now available (C. Mylonas)
- Reliability analysis module:
- Polynomial Chaos-Kriging can now be used as a metamodel in AK-MCS
- Documentation:
- Now available in pdf and HTML formats in the
Doc/Manuals
folder,
accessible via theuq_doc
function
- Now available in pdf and HTML formats in the
Changes
- Kriging module:
- Default correlation family changed to
matern-5_2
- Covariance matrix of the predictor is now available as the third output of uq_evalModel
- Default correlation family changed to
- Polynomial Chaos Expansions module:
- Default quadrature scheme changed to
Full
when input dimension < 4 (cheaper)
- Default quadrature scheme changed to
- Input module:
- Changed handling of custom distributions
Bug fixes
- General bug fixes and performance improvements across modules w.r.t. V0.92