[Numpy-discussion] [ANN] NLopt, a nonlinear optimization library
Thu Jun 17 02:34:05 CDT 2010
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
I got many interesting answers, where apparently the agreement was to
"just write a proper error-function".
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<A_j<1 constraints.
Question: Does NLopt allow to do those optimizations in a more direct,
less "manual" and still easy-to-use way ?
On Thu, Jun 17, 2010 at 7:26 AM, Steven G. Johnson <email@example.com> wrote:
> The NLopt library, available from
> 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/inequality constraints.
> NLopt is written in C, but now includes a Python interface (as well as
> interfaces for C++, Fortran, Matlab, Octave, and Guile).
> It is free software under the GNU LGPL.
> Steven G. Johnson
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