[SciPy-user] scipy.optimise.lbfgsb /bounded optimization help
robert.kern at gmail.com
Sat Jan 27 16:11:09 CST 2007
Simon Burton wrote:
> On Sat, 27 Jan 2007 15:38:42 -0600
> Robert Kern <robert.kern at gmail.com> wrote:
>>> 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.
>> You mean that your function f maps
>> RR^2 ---> RR^2
> I read it as, f:R^2 -> R, but f(x,y) is constrained to y>=0.
Not according to the last time he asked this question on c.l.py:
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco
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