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

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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