Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:application |
engineering analysis
multidisciplinary design optimization |
| gptkbp:citation |
gptkb:Gray,_J.,_et_al._"OpenMDAO:_An_open-source_framework_for_multidisciplinary_design,_analysis,_and_optimization."_Structural_and_Multidisciplinary_Optimization_59.4_(2019):_1075-1104.
|
| gptkbp:developedBy |
gptkb:NASA_Glenn_Research_Center
|
| gptkbp:documentation |
https://openmdao.org/twodocs/versions/latest/
|
| gptkbp:feature |
unit testing framework
component-based architecture extensive documentation automatic differentiation support for MPI support for distributed computing support for scripting and automation benchmarking tools extensible plugin system API for integration with other tools active user community support for DOE (Design of Experiments) support for constraints and objectives support for custom components support for design of experiments support for hierarchical modeling support for legacy code integration support for linear solvers support for multi-fidelity modeling support for multidisciplinary analysis support for nonlinear solvers support for open-source collaboration support for optimization drivers support for optimization under uncertainty support for parallel execution support for surrogate modeling support for uncertainty quantification support for variable promotion support for visualization tools |
| gptkbp:firstReleased |
2010
|
| https://www.w3.org/2000/01/rdf-schema#label |
OpenMDAO
|
| gptkbp:latestReleaseVersion |
2024-05-30
3.29.0 |
| gptkbp:license |
gptkb:Apache_License_2.0
|
| gptkbp:officialWebsite |
https://openmdao.org/
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:repository |
https://github.com/OpenMDAO/OpenMDAO
|
| gptkbp:supports |
parallel computing
gradient-based optimization derivative computation |
| gptkbp:usedFor |
aerospace engineering
automotive engineering energy systems |
| gptkbp:bfsParent |
gptkb:COBYLA
|
| gptkbp:bfsLayer |
7
|