Code Name | Field | Owner | Access | OS | Source? | Github? |
|---|---|---|---|---|---|---|
| MOOSE | Finite element framework | INL | open source | https://github.com/idaholab/moose | ||
| Dakota | Interface between analysis codes | Sandia | public downloads available | Windows, Linux, Mac OS X | https://dakota.sandia.gov/content/dakota-source-code |
Dakota: Large-Scale engineering optimization and uncertainty analysis
https://dakota.sandia.gov/
https://dakota.sandia.gov/
About (from their website):
The Dakota toolkit provides a flexible, extensible interface between analysis codes and iterative systems analysis methods. Dakota contains algorithms for:
- optimization with gradient and nongradient-based methods;
- uncertainty quantification with sampling, reliability, stochastic expansion, and epistemic methods;
- parameter estimation with nonlinear least squares methods; and
- sensitivity/variance analysis with design of experiments and parameter study methods.
These capabilities may be used on their own or as components within advanced strategies such as hybrid optimization, surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty.