[SciPy-Dev] QR-decomposition with Q but not Q

[Sturla Molden]

Den 12.08.2011 09:07, skrev Martin Teichmann:

> so, I'm working on the Marquard-Levenberg fitting algorithm, and 
> indeed, I need not much more than least-squares solving. In princple, 
> I think, I could use the LAPACK routines for that.

Levenberg-Marquard is better implemented with LAPACK method DGELS than 
using QR manually. Also consider that scipy already has 
Levenberg-Marquard in scipy.optimize.leastsq, which is a wrapper for 
MINPACK routines LMDER and LMDIF.

Sturla