Thanks both! Yes, I guess it's typically 'least squares' referring to
the residual vector, and 'minimum norm' referring to the solution
vector. That's certainly how the documentation for `dgelsd` frames it.
In my case, the minimum norm solution can be sensibly interpreted (and
in particular, it gua
Hi all,
I'm solving an underdetermined system using `numpy.linalg.lstsq` and
trying to track down its behavior for underdetermined systems. In
previous versions of numpy (e.g. 1.14) in `linalg.py` the definition
for `lstsq` calls `dgelsd` for real inputs, which I think means that
the underdetermin
