v25.1

Full Changelog: https://github.com/pybop-team/PyBOP/blob/develop/CHANGELOG.md

v25.1 - 2025-02-03

Features

• #636 - Adds pybop.IRPropPlus optimiser with corresponding tests.
• #635 - Adds support for multi-proposal evaluation of list-like objects to BaseCost classes.
• #635 - Adds global parameter sensitivity analysis with method BaseCost.sensitivity_analysis. This is computation is added to OptimisationResult if optimiser arg compute_sensitivities is True. An additional arg is added to select the number of samples for analysis: n_sensitivity_samples.
• [#630] (#632) - Fisher Information Matrix added to BaseLikelihood class.
• #619 - Adds pybop.SimulatingAnnealing optimiser with corresponding tests.
• #565 - DigiBatt added as funding partner.

Optimisations

• #638 - Allows the problem class to accept any domain name.
• #618 - Adds Mean Absolute Error (MAE) and Mean Squared Error (MSE) costs.
• #601 - Deprecates MultiOptimisationResult by merging with OptimisationResult.
• #600 - Removes repetitious functionality within the cost classes.

Bug Fixes

• #602 - Aligns the standard quick plot of MultiFittingProblem outputs.

Breaking Changes

• #656 - Completes ParameterSet changes from #593 and aligns the simulation options in model.predict with the model properties such as the solver.
• #593 - Enables ParameterSet to systematically return a pybamm.ParameterValues object within the model class.

New Contributors

• @pipliggins made their first contribution in #573