[SciPy-User] [SciPy-user] optimize fmin_cg parameter passing
Cameron Hayne
cameron.hayne@dftmicrosystems....
Fri Apr 13 02:13:41 CDT 2012
On 13-Apr-12, at 1:37 AM, aurora1625 wrote:
> I am new to Python and Scipy and I met a problem when trying to
> optimize a
> function.
> My problem is:
> my f function has several parameters(datatype:array), it's like
> f = \sum lambda_i * phi_i + \zeta *(exp(lambda_i + \nu_i))
> this function is about lambda, so i get
> fprime = \sum phi_i + \zeta *(exp(lambda_i + \nu_i))
> I want to pass in an initial lambda value, but how can I pass in other
> parameter, phi, zeta and nu.
> I guess my function is about lambda, and the other parameters should
> be
> constant and fixed, but I really don't know how to pass them in.
I'm not sure I have correctly understood what you are asking but it
seems that what you want is a locally defined function.
In Python, you can define a function inside another function and the
locally-defined function preserves all the values of variables used
from the outer function.
For example:
def funcA(x, y):
def funcB(z):
return x**2 + y**2 + z**2
print funcB(42)
In your case, you can make the inner function use the values of phi,
zeta and nu,
and then pass the inner function to the optimization routine.
--
Cameron Hayne
macdev@hayne.net
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