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

Charles R Harris charlesr.harris@gmail....
Sat Aug 13 18:54:19 CDT 2011


On Fri, Aug 12, 2011 at 12:01 PM, Sturla Molden <sturla@molden.no> wrote:

> 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.
>
>
Although it would be nice if someone added the ability to mask some
variables.

Chuck
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