[SciPy-User] maximization functions

[Dennis C]

Hello again Robert;

And thanks for that response!  Hope it's not asking for too much "hand
holding," since I don't quite understand it yet, but would you maybe offer
an example of what and how exactly to call from scipy if I have a function
to MAXimize that takes one variable (direct parabolic interpolation)
say between 0 and 1 with a precision of 0.01 up to 100 iterations?

Thanks again,


Date: Thu, 22 Oct 2009 14:33:48 -0500
From: Robert Kern <robert.kern at gmail.com>
Subject: Re: [SciPy-User] maximization functions
To: SciPy Users List <scipy-user at scipy.org>
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       <3d375d730910221233q57a1ee85r621fae1e53151c10 at mail.gmail.com>
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On Thu, Oct 22, 2009 at 14:07, Dennis C <dcswest at gmail.com> wrote:
> Greetings;
> Although I've been using numpy on a limited basis for a while now, just
> recently came across scipy in a search for any "more standardized" python
> optimization functions such as parabolic interpolation and a genetic
> algorithm that might just work more reliably than what I've written up
thus
> far for either and seems like all I've found is the inverse of the former
> and future plans for the latter, so basically am wondering if there's
> already any maximization functions too in scipy as there seem to be
> minimization ones?

To convert a maximization problem to a minimization problem:

def func_to_minimize(x):
   return -func_to_maximize(x)

--
Robert Kern

"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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