COBYQA
COBYQA (Constrained Optimization BY Quadratic Approximations) is a derivative-free trust-region SQP optimization solver for constrained optimization using quadratic approximations.
It is currently implemented in Python.
- A complete documentation is available.
- The source files can be downloaded from GitHub.
- Compiled versions can be installed from PyPI.
- A detailed description of the algorithm and its implementation is given in my PhD thesis.