[SciPy-user] ANN: constrained scipy.fsolve equivalent

[dmitrey]

Hi all,
I'm glad to inform that now scikits.openopt NLSP 
<http://scipy.org/scipy/scikits/wiki/NLSP> solver nssolve can handle all 
types of constraints; user-supplied derivatives to f, c, h can be 
handled as well.

See NLSP constrained example 
<http://projects.scipy.org/scipy/scikits/browser/trunk/openopt/scikits/openopt/examples/nlsp_constrained.py>.

Also, a small bugfix for nssolve iprint parameter handling has been made.

However, currently graphic output for constrained NLSP does not work 
properly yet, it's intended to be fixed in future.

nssolve is intended for non-smooth and noisy funcs (and uses NSP ralg 
solver), hence smooth functions are handled, of course, much better by 
scipy.optimize fsolve.

Also, convergence for non-convex functions is not guarantied.

Regards, D.