[SciPy-User] [SciPy-user] optimize fmin_cg parameter passing
Fri Apr 13 08:31:50 CDT 2012
> 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.
Extra parameters usually go in the `args::tuple` parameter for
minimizers in scipy, e.g.:
fmin(f, x0, args=(phi, zeta, nu), ...)
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