| 2 | |
| 3 | Documents |
| 4 | * Introductory notes for users and developers |
| 5 | [[BR]][attachment:optimization.pdf "User's guide"] |
| 6 | |
| 7 | Examples |
| 8 | * Minimization of Rosenbrock's function |
| 9 | [[BR]][attachment:rosenbrock.py "rosenbrock.py"] |
| 10 | * Parameter estimation with derivative free solver |
| 11 | [[BR]][attachment:ParEstimation.py "ParEstimation.py"] [attachment:ParEstimation.tar.gz "ParEstimation.tar.gz"] |
| 12 | * Parameter estimation with gradient based solver |
| 13 | [[BR]][attachment:SensParEstimation.py "SensParEstimation.py"] [attachment:SensParEstimation.tar.gz "SensParEstimation.tar.gz"] |
| 14 | * Optimal experimental design with Sigma Point approach |
| 15 | [[BR]][attachment:OEDSigmaPoint.py "OEDSigmaPoint.py"] [attachment:OEDSigmaPoint.tar.gz "OEDSigmaPoint.tar.gz"] |