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Instead of using np.pinv we should use SVD and do the pseudo-inverse ourselves while also saving the eigenvectors that span the degenerate subspace corresponding to the zero-eigenvalues.
We may also want a feature, either here or in redcal, of projecting known degenerate eigenvectors into the subspace and seeing if they span it or if there are additional missing eigenvectors.
The text was updated successfully, but these errors were encountered:
Instead of using
np.pinv
we should use SVD and do the pseudo-inverse ourselves while also saving the eigenvectors that span the degenerate subspace corresponding to the zero-eigenvalues.We may also want a feature, either here or in redcal, of projecting known degenerate eigenvectors into the subspace and seeing if they span it or if there are additional missing eigenvectors.
The text was updated successfully, but these errors were encountered: