Comments (2)
I will chime in here to say that I think the correct behavior here is for the SVD to succeed, not return None
. Handling empty/zero-sized matrices is an important corner case that sometimes happens in applications. For example, say that your matrix is an mxn
matrix with n
observations. In this case it may still make sense for the case of n == 0
observations.
My understanding of try_...
in the context of SVD is that it will only fail if the iterative process fails (which technically should not happen but can still happen in practice, in rare instances).
from nalgebra.
I think that aligns with my intuitions; a matrix with a 0 dimension does have a SVD since you can always express it with valid UΣV* matrices. I think all the function needs to do here is return (identity, original matrix, identity) with at least one of those identity matrices being 0x0 matching the 0-dimension of the input matrix.
from nalgebra.
Related Issues (20)
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from nalgebra.