pyDAKOTA (Dakota Driver) [SWR-13-16]

RESOURCE

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.:
Code ID:
4383
Site Accession Number:
7063
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Country of Origin:
United States

RESOURCE

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}
}