lsqminnorm vs lsqnonneg

[Christian Himpe]

Dear Developers,

Octave provides already the "lsqnonneg" optimzation function, yet misses 
"lsqminnorm". I assume ``just'' solving the least-squares problem would be 
easier than a constraint least-squares. So I wonder why the more complicated 
function is implemented, and the potentially easier one is not. Is there a 
reason for that, for example algorithmic issues? Or is this maybe a low-hanging 
(m-file) fruit?

Best

Christian

-- 
Dr. rer. nat. Christian Himpe
Computational Methods in Systems and Control Theory
Max Planck Institute for Dynamics of Complex Technical Systems
Sandtorstr. 1
39106 Magdeburg
Germany
https://himpe.science