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