DAKOTA Driver (WISDEM®) [SWR-13-16]

RESOURCE

Abstract

OpenMDAO driver for DAKOTA (Design Analysis Kit for Optimization and Terascale Applications). This code connects the SANDIA National Laboratory's C++-based DAKOTA optimization and analysis tool with NASA’s python-based openMDAO systems engineering framework. It allows DAKOTA to be used as an openMDAO “Driver”. DAKOTA contains a wide array of advanced sensitivity, uncertainty quantification, and optimization methods. These are now available in a “pluggable” way to any openMDAO based workflow.
Developers:
Graf, Peter [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Release Date:
2013-07-17
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Version:
0.4
Licenses:
Apache License 2.0
Sponsoring Org.:
Code ID:
19678
Site Accession Number:
NREL SWR 13-16
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Graf, Peter. DAKOTA Driver (WISDEM®) [SWR-13-16]. Computer Software. https://github.com/WISDEM/dakota_driver. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind Energy Technologies Office (EE-4WE). 17 Jul. 2013. Web. doi:10.11578/dc.20181011.3.
Graf, Peter. (2013, July 17). DAKOTA Driver (WISDEM®) [SWR-13-16]. [Computer software]. https://github.com/WISDEM/dakota_driver. https://doi.org/10.11578/dc.20181011.3.
Graf, Peter. "DAKOTA Driver (WISDEM®) [SWR-13-16]." Computer software. July 17, 2013. https://github.com/WISDEM/dakota_driver. https://doi.org/10.11578/dc.20181011.3.
@misc{ doecode_19678,
title = {DAKOTA Driver (WISDEM®) [SWR-13-16]},
author = {Graf, Peter},
abstractNote = {OpenMDAO driver for DAKOTA (Design Analysis Kit for Optimization and Terascale Applications). This code connects the SANDIA National Laboratory's C++-based DAKOTA optimization and analysis tool with NASA’s python-based openMDAO systems engineering framework. It allows DAKOTA to be used as an openMDAO “Driver”. DAKOTA contains a wide array of advanced sensitivity, uncertainty quantification, and optimization methods. These are now available in a “pluggable” way to any openMDAO based workflow.},
doi = {10.11578/dc.20181011.3},
url = {https://doi.org/10.11578/dc.20181011.3},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20181011.3}},
year = {2013},
month = {jul}
}