Develop optimisation tool

[da-crivelli]

Leveraging on parametric, should allow the user to specify

• An objective function
• Which parameters to change
• Boundaries / limits
• An optimisation method
• A minimum error

This could effectively be a class that generates runs of parametric, the results of which are then passed to the optimiser which determines the next run matrix and values.

We should still keep track of all runs in a dataframe, so this may need a new version of the dataframe initialisation function to support appending rather than creating a new df from scratch.