OpenOpt 0.19 announced

Hello,
We're pleased to announce:
OpenOpt v 0.19, free (license: BSD) optimization framework
(written in Python language) with connections to lots of solvers (some
are C- or Fortran-written) is released.

Changes since previous release 0.18 (June 15, 2008):

    * Some changes for NLP/NSP solver ralg (especially related to
handling linear constraints Ax <= b, Aeq x = beq, lb <= x <= ub)
    * Bugfix for ralg and IPOPT linear constraints handling
    * ALGENCAN v 2.0.x has been connected (v 1.0 is no longer
supported, v 2.0.3 or later is required)
    * Bugfix for constrained NLSP graphic output (constrained nssolve
isn't turned to latest ralg version yet)
    * Scale parameter for lpSolve (p.scale = {False} | True | 0 | 1)
    * New OO class LLAVP (linear least absolute values aka linear
least deviations)
    * Improved handling of non-linear functions with restricted dom
    * GLP (global) solver galileo now can handle integer problems (via
p.useInteger = 1 or True)
    * Another one GLP (global) solver connected: pswarm
    * Lots of work related to oofun concept (see OO Doc page for
details)
    * Add converters llsp2nlp, llavp2nsp
    * Convenient handling of maximization problems (via p.goal = 'max'
or 'maximum')
    * Some code clean up and bugfixes

Backward incompatibility:
    * Changed objective function in LLSP
    * MATLAB-style gradtol renamed to gtol (for to provide same syntax
to scipy.optimize fmin_bfgs, fmin_cg and less-to-type)

Newsline:
http://openopt.blogspot.com/

Homepage:
http://scipy.org/scipy/scikits/wiki/OpenOpt

Regards,
OpenOpt developers.
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