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Add a Jax sparse solving method for the numeric impedance prediction to enable gradient-based optimisers.
Motivation
Currently, our implementation of numerical impedance uses the numpy sparse solver spsolve. Jax has experimental functionality for sparse matrices and operations (see here) with functionality for jax.grad and similar functions.
Possible implementation
No response
Additional context
No response
The text was updated successfully, but these errors were encountered:
Feature description
Add a Jax sparse solving method for the numeric impedance prediction to enable gradient-based optimisers.
Motivation
Currently, our implementation of numerical impedance uses the numpy sparse solver
spsolve
. Jax has experimental functionality for sparse matrices and operations (see here) with functionality forjax.grad
and similar functions.Possible implementation
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: