You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I thought it would be nice to add some plotting functionality to animate for metrics. I mentioned this to @acse-ej321 on the last meeting since she showed nice figures in the past.
And potentially related to this: I feel like the density_and_quotients method of RiemannianMetric is a bit out of place there. All other methods are used to actually construct the metric, while density_and_quotients is never called, and is only used for analysis, right?
So I feel like it would be nice to have something similar to quality.py for meshes, but for metrics. And the ability to plot them easily.
The text was updated successfully, but these errors were encountered:
So I have been thinking about this a bit - it links to #37. Since the RiemannianMetric class is now quite bloated, it would be nice to introduce a superclass called SPDFunction, which is a subclass of Function for the symmetric-positive definite case. Then it would make sense to move (e.g.) enforce_spd, assemble_eigendecomposition, compute_eigendecomposition, density_and_quotients there. We could also make the P0Metric class used internally a subclass of SPDFunction but not RiemannianMetric.
I thought it would be nice to add some plotting functionality to animate for metrics. I mentioned this to @acse-ej321 on the last meeting since she showed nice figures in the past.
And potentially related to this: I feel like the
density_and_quotients
method ofRiemannianMetric
is a bit out of place there. All other methods are used to actually construct the metric, whiledensity_and_quotients
is never called, and is only used for analysis, right?So I feel like it would be nice to have something similar to quality.py for meshes, but for metrics. And the ability to plot them easily.
The text was updated successfully, but these errors were encountered: