OpenMDAO
An open-source high-performance computing platform for systems analysis and multidisciplinary optimization, written in Python.
What is OpenMDAO?
OpenMDAO is an open-source high-performance computing platform for systems analysis and multidisciplinary optimization. It enables engineers and researchers to decompose complex models into manageable components while solving them efficiently with parallel numerical methods. The framework specializes in gradient-based optimization with analytic derivatives to explore large design spaces with hundreds or thousands of variables.
Engineers, researchers, and scientists working on complex systems analysis, multidisciplinary design optimization, and large-scale computational modeling problems, particularly those requiring gradient-based optimization methods.
OpenMDAO provides a unique combination of model decomposition capabilities with efficient parallel numerical methods, specifically optimized for gradient-based optimization with analytic derivatives. Unlike general optimization libraries, it offers specialized tools for multidisciplinary systems analysis with support for large design spaces and high-performance computing environments.
Overview
OpenMDAO repository.
Use Cases
Best For
- Multidisciplinary design optimization of complex engineering systems
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