Hi Pawel,
thanks for sharing your code for finding nullspace of large matrices. This appears very useful, and I am considering using it for my research in medical image reconstruction. There is just a small problem, with which I was hoping you could help us.
We are interested in "almost-rank-deficient" matrices rather than strictly rank-deficient. So we want to be able to supply a tolerance parameter which says, "consider all eigenvectors with eigenvalues smaller than this tolerance to belong to the nullspace". My question is: is it possible to add this feature to your code?
I would really appreciate your help!
sincerely,
Ashish Raj
