There are several possibilities, some of them are listed on
http://en.wikipedia.org/wiki/Automatic_differentiation
== pycppad
http://www.seanet.com/~bradbell/pycppad/index.xml
pycppad is a wrapper of the C++ library CppAD ( http://www.coin-or.org/CppAD/ )
the wrapper can do up to second order de
Hi,
I just saw this python package : PyDX which may answer your needs.
The original URL is not working, but the svn location exists.
http://gr.anu.edu.au/svn/people/sdburton/pydx/doc/user-guide.html
svn co http://gr.anu.edu.au/svn/people/sdburton/pydx
br
-osman
__
> In your experience, is this functionality enough to start a separate
> package, or should we try to include it somewhere else? Otherwise we
> could think of a new SciKit.
I confess to knowing no details about scikits so I don't know what the
difference really is between a "new package" and a sc
2008/10/30 Rob Clewley <[EMAIL PROTECTED]>:
>> http://en.wikipedia.org/wiki/Automatic_differentiation
>
> That would be great, but wouldn't that be best suited as a utility
> requiring Sympy? You'll want to take advantage of all sorts of
> symbolic classes, especially for any source code transforma
> Maybe we should focus on writing a decent 'deriv' function then. I
> know Konrad Hinsen's Scientific had a derivatives package
> (Scientific.Functions.Derivatives) that implemented automatic
> differentiation:
>
> http://en.wikipedia.org/wiki/Automatic_differentiation
That would be great, but w
