Steven G. Johnson wrote:
>> Regarding constraints, the suggestion was to "manually" substitute my
>> variables with combinations of exp()-expressions that would implicitly
>> take care of the r_i>0 and 0> Question: Does NLopt allow to do those optimizations in a more direct,
>> less "manual" and s
Sebastian Haase wrote:
> this sounds like the library I was looking for.
> Would you mind reading my post
> [SciPy-User] Global Curve Fitting of 2 functions to 2 sets of
> data-curves
> http://mail.scipy.org/pipermail/scipy-user/2010-June/025674.html
> ?
> I got many interesting answ
Sebastian Haase wrote:
> this sounds like the library I was looking for.
> Would you mind reading my post
> [SciPy-User] Global Curve Fitting of 2 functions to 2 sets of data-curves
> http://mail.scipy.org/pipermail/scipy-user/2010-June/025674.html
> ?
> I got many interesting answers, where appare
Hi Steven,
this sounds like the library I was looking for.
Would you mind reading my post
[SciPy-User] Global Curve Fitting of 2 functions to 2 sets of data-curves
http://mail.scipy.org/pipermail/scipy-user/2010-June/025674.html
?
I got many interesting answers, where apparently the agreement wa
The NLopt library, available from
http://ab-initio.mit.edu/nlopt
provides a common interface for a large number of algorithms for both
global and local nonlinear optimizations, both with and without gradient
information, and including both bound constraints and nonlinear
equality/inequali