Updt. Changelog, remove notebook, updt. README

pybop-team · Jan 23, 2024 · 5c09e07 · 5c09e07
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -4,6 +4,7 @@
 
 ## Bug Fixes
 
+- [#63](https://github.com/pybop-team/PyBOP/issues/63) - Removes NLOpt Optimiser from future releases. This is to support deployment to the Apple M-Series platform.
 - [#164](https://github.com/pybop-team/PyBOP/issues/164) - Fixes convergence issues with gradient-based optimisers, changes default `model.check_params()` to allow infeasible solutions during optimisation iterations. Adds a feasibility check on the optimal parameters.
 
 # [v23.12](https://github.com/pybop-team/PyBOP/tree/v23.12) - 2023-12-19

diff --git a/README.md b/README.md
@@ -117,7 +117,7 @@ The [spm_descent.py](https://github.com/pybop-team/PyBOP/blob/develop/examples/s
 python examples/scripts/spm_descent.py
 ```
 
-In addition, [spm_nlopt.ipynb](https://github.com/pybop-team/PyBOP/blob/develop/examples/notebooks/spm_nlopt.ipynb) provides a second example in notebook form. This example estimates the SPM parameters based on an RMSE cost function and a BOBYQA optimiser.
+In addition, [spm_CMAES.ipynb](https://github.com/pybop-team/PyBOP/blob/develop/examples/notebooks/spm_CMAES.ipynb) provides a second example in notebook form. This example estimates the SPM parameters based on an RMSE cost function and a BOBYQA optimiser.
 
 <!-- Code of Conduct -->
 ## Code of Conduct

diff --git a/examples/notebooks/spm_nlopt.ipynb b/examples/notebooks/spm_nlopt.ipynb