DAKOTA
Description
The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) 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.
Required Modules
Module dependencies vary based on the version of DAKOTA that you are loading (see modules documentation)
Version 6.8
module load intel/2018.1.163 openmpi/3.1.0 dakota/6.8
Version 6.10
module load gcc/7.3.0 dakota/6.10
Version 6.15
module load gcc/7.3.0 openmpi/3.0.0 dakota/6.15
System Variables
- HPC_DAKOTA_DIR - installation directory
- HPC_DAKOTA_BIN - program executable directory
- HPC_DAKOTA_LIB - library directory
- HPC_DAKOTA_INC - include file directory
Citation
If you publish research that uses DAKOTA you have to cite it as follows:
Please cite the Dakota User's Manual (or other appropriate manual) for the version you used (see SAND Reports). For example:
Adams, B.M., Bohnhoff, W.J., Dalbey, K.R., Ebeida, M.S., Eddy, J.P., Eldred, M.S., Hooper, R.W., Hough, P.D., Hu, K.T., Jakeman, J.D., Khalil, M., Maupin, K.A., Monschke, J.A., Ridgway, E.M., Rushdi, A.A., Seidl, D.T., Stephens, J.A., Swiler, L.P., and Winokur, J.G., "Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.15 User’s Manual," Sandia Technical Report SAND2020-12495, November 2021.
Previous versions of the User's Manual are available from the manuals page.