[SciPy-user] Automatic Differentiation with PYADOLC and Removing Boost::Python dependency

[Robert Kern]

On Fri, Mar 27, 2009 at 03:35, Sebastian Walter
<sebastian.walter at gmail.com> wrote:
> On Thu, Mar 26, 2009 at 7:44 PM, Robert Kern <robert.kern at gmail.com> wrote:
>> On Thu, Mar 26, 2009 at 12:34, Rob Clewley <rob.clewley at gmail.com> wrote:
>>
>>> As an example, I would love to use this code in PyDSTool to find
>>> derivatives more accurately to compute periodic orbit solutions of
>>> differential equations, but it does not appeal to me to require boost
>>> as a dependency.
>>
>> You might want to take a look at Theano as an alternative to automatic
>> differentiation:
>>
>>  http://pylearn.org/theano
>
> I had a quick look at theano. It looks more like symbolic
> differentiation. Is that right?
> How does it handle functions with loops in the body?

I don't think it does.

-- 
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