Abstract
Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to: (1) enhance understanding of risk, (2) improve products, and (3) assess simulation credibility. In its simplest mode, Dakota can automate typical parameter variation studies through a generic interface to a computational model. However, Dakota also delivers advanced parametric analysis techniques enabling design exploration, optimization, model calibration, risk analysis, and quantification of margins and uncertainty with such models. It directly supports verification and validation activities. The algorithms implemented in Dakota aim to address challenges in performing these analyses with complex science and engineering models from desktop to high performance computers.
- Release Date:
- 2015-10-19
- Project Type:
- Open Source, No Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
GNU Lesser General Public License v2.1
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC04-94AL85000
- Code ID:
- 3658
- Site Accession Number:
- 5981
- Research Org.:
- Sandia National Laboratory
- Country of Origin:
- United States
Citation Formats
Design Analysis Kit for Optimization and Terascale Applications 6.0.
Computer Software.
USDOE.
19 Oct. 2015.
Web.
doi:10.11578/dc.20171025.1667.
(2015, October 19).
Design Analysis Kit for Optimization and Terascale Applications 6.0.
[Computer software].
https://doi.org/10.11578/dc.20171025.1667.
"Design Analysis Kit for Optimization and Terascale Applications 6.0." Computer software.
October 19, 2015.
https://doi.org/10.11578/dc.20171025.1667.
@misc{
doecode_3658,
title = {Design Analysis Kit for Optimization and Terascale Applications 6.0},
author = ,
abstractNote = {Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to: (1) enhance understanding of risk, (2) improve products, and (3) assess simulation credibility. In its simplest mode, Dakota can automate typical parameter variation studies through a generic interface to a computational model. However, Dakota also delivers advanced parametric analysis techniques enabling design exploration, optimization, model calibration, risk analysis, and quantification of margins and uncertainty with such models. It directly supports verification and validation activities. The algorithms implemented in Dakota aim to address challenges in performing these analyses with complex science and engineering models from desktop to high performance computers.},
doi = {10.11578/dc.20171025.1667},
url = {https://doi.org/10.11578/dc.20171025.1667},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.1667}},
year = {2015},
month = {oct}
}