[SciPy-Dev] Levenberg-Marquardt Implementation

[Pauli Virtanen]

28.02.2014 12:41, Benny Malengier kirjoitti:
> In light of my remark, I see this type of constrained optimization is
> present in scipy via fmin_slsqp.

Yes, and also COBYLA does constrained optimization. But both are general
scalar function minimization, rather than nonlinear least squares.

You can of course express NLLSQ as a minimization problem, but there
usually is a difference in efficiency.

-- 
Pauli Virtanen