Abstract
pyDAKOTA is an interface to Sandia Laboratory's Design Analysis Kit for Optimization and Terascale Applications (DAKOTA) analysis suite.
Allows for users to construct DAKOTA input, feed the input to DAKOTA, and for DAKOTA to call a python object with a "dakota_callback" function for function evaluations.
This allows for a light-weight custom python interface to DAKOTA.
This is intended to be used with the OpenMDAO dakota driver
Author: NREL WISDEM Team
- Developers:
- Release Date:
- 2016-06-27
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
C++
Shell
CMake
Python
- Licenses:
-
Apache License 2.0
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC36-08GO28308
- Code ID:
- 4383
- Site Accession Number:
- 7063
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Country of Origin:
- United States
Citation Formats
Graf, Peter.
pyDAKOTA (Dakota Driver) [SWR-13-16].
Computer Software.
https://github.com/wisdem/pyDAKOTA.
USDOE.
27 Jun. 2016.
Web.
doi:10.11578/dc.20171025.1793.
Graf, Peter.
(2016, June 27).
pyDAKOTA (Dakota Driver) [SWR-13-16].
[Computer software].
https://github.com/wisdem/pyDAKOTA.
https://doi.org/10.11578/dc.20171025.1793.
Graf, Peter.
"pyDAKOTA (Dakota Driver) [SWR-13-16]." Computer software.
June 27, 2016.
https://github.com/wisdem/pyDAKOTA.
https://doi.org/10.11578/dc.20171025.1793.
@misc{
doecode_4383,
title = {pyDAKOTA (Dakota Driver) [SWR-13-16]},
author = {Graf, Peter},
abstractNote = {pyDAKOTA is an interface to Sandia Laboratory's Design Analysis Kit for Optimization and Terascale Applications (DAKOTA) analysis suite.
Allows for users to construct DAKOTA input, feed the input to DAKOTA, and for DAKOTA to call a python object with a "dakota_callback" function for function evaluations.
This allows for a light-weight custom python interface to DAKOTA.
This is intended to be used with the OpenMDAO dakota driver
Author: NREL WISDEM Team},
doi = {10.11578/dc.20171025.1793},
url = {https://doi.org/10.11578/dc.20171025.1793},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.1793}},
year = {2016},
month = {jun}
}