Added training option for region of attraction approximation #18
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Checklist
contributor guidelines, in particular the SciML Style Guide and
COLPRAC.
Additional context
Neural Lyapunov functions are most useful in the context of approximating the region of attraction (RoA). These changes allow for training which is aware of the RoA estimation task by enforcing the Lyapunov decrease condition only within a pre-determined sublevel set. That sublevel set becomes the RoA estimate.
Additionally, I did some formatting and rearranging of which files contained which code.