Software - dakota
Description
The Dakota toolkit provides a flexible, extensible interface between analysis codes and iterative systems analysis methods. Dakota contains algorithms for: - optimization with gradient and non gradient-based methods; - uncertainty quantification with sampling, reliability, stochastic - expansion, and epistemic methods; - parameter estimation with nonlinear least squares methods; - 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.
Website
Variants installed
-
dakota 6.22.0
- Compiler: gcc =11.2.0
- Architecture: zen2
- Supports MPI
Spack Command
$ spack load dakota/63qvwxq