[SciPy-user] scipy.optimise.lbfgsb /bounded optimization help

mclaugb mclaughlinbryan at yahoo.com
Sat Jan 27 11:57:53 CST 2007

I have been using a Gauss-Newton algorithm but it is unconstrained and i 
need a bounded, multivariate algorithm.

Does anyone have any example code that uses the "lbfgsb" optimization 
algorithm?  I have a function of two variables that is bounded to the 
positive half-space and would like to use lbfgsb to minimize two variables. 
i have tried to get it working for a 2 variable function case but have been 
unsuccessful.  any example code would help me.

I have also seen a version of leastsq called "mpfit" which some suggested 
porting Numeric to NumPy.  Has anyone used this Levenburg-Marquardt 
algorithm successfully?  Do you have the converted code that works with 
Python 2.4?  do you have any example code?

Kind Regards,

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