v0.1
First release of pybamm-param, containing the following features:
Optimisation problems
- Fit PyBaMM simulation to data (DataFit)
- Balance OCP for half cells (OCPBalance)
- Galvanostatic Intermittent Titration Technique (GITT)
Optimisers
- SciPy Minimize (ScipyMinimize)
- SciPy Differential Evolution (ScipyDifferentialEvolution)
Cost Functions
- Root Mean Square Error (RMSE)
- Maximum Likelihood Estimation (MLE)