add krylov_s{0,1,2,3} which use scipy optimization.root #10
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Outdated suggestions cannot be applied.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.
Just an example of a simple quasi-Newton solver outside of numerics. It uses
scipy.optimization.root
with Krylov method.iparam[9] allows for the choice of a pre-conditioner:
On a few tests with Chute_4000, it seems that 0 is the best choice at this level and it performs quite faster than
NSGS-AC
for a precision of 1e-4 (but it is not performant for better precisions).