OpenOpt release 0.19

Hi all,
I'm glad to inform you about new OpenOpt release: v 0.19.

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 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)

Regards, Dmitrey.