Yeah, if you try diff(x,y), the method is not called.
Ronan, I'm not sure how to do what you're describing?  How would I
call that?

-Gilbert


On Jun 3, 7:32 pm, Ronan Lamy <[email protected]> wrote:
> Le vendredi 03 juin 2011 à 19:16 -0700, Gilbert gede a écrit :
>
> > You're talking about Symbol._eval_derivative?  I tried that within my
> > extended Symbol class.  It returns 0 or 1 testing self == symbol.  I
> > tried making some changes to it, but I don't think I can use it.  I
> > think it doesn't even get called unless you do something like:
> > t = timevaryingsymbols('t')
> > Derivative(2+3*t,t)
> > I think only when t is both part of (expr, symbols, ...) within
> > Derivative's __new__ definition does t's _eval_derivative() method get
> > called.
>
> That seems to be a recent "optimisation" from commit 2361dd86. You
> should revert this to the old behaviour: call
> expr._eval_derivative(symbol) in all cases.
>
>
>
>
>
>
>
> > On Jun 3, 6:53 pm, Aaron Meurer <[email protected]> wrote:
> > > Can you just get what you want by overriding _eval_derivative()?
>
> > > Aaron Meurer
>
> > > On Fri, Jun 3, 2011 at 7:48 PM, Gilbert gede <[email protected]> 
> > > wrote:
> > > > I guess I should have asked this as well; is it considered bad to
> > > > write diff() and replace the current Sympy diff() within my code? Or
> > > > is that OK?
>
> > > > -Gilbert
>
> > > > On Jun 3, 6:38 pm, Gilbert gede <[email protected]> wrote:
> > > >> Yeah, I had read some of them.  I had already thought of writing my
> > > >> own Diff method or something and do substitution with it, but was
> > > >> hoping to have the functionality I want work like standard SymPy
> > > >> operations.  That's what I've been trying to do with my PyDy classes;
> > > >> make them work more like you would expect other SymPy objects to.
> > > >> I have read through Derivative() and diff(), and couldn't really find
> > > >> a way to make them do what I want (like I said about my symbol
> > > >> extension no longer having its methods called once it is inside a
> > > >> SymPy add or mul).  I guess what I was hoping for was input on whether
> > > >> I could make Derivative do what I want with my extended Symbol, as I
> > > >> couldn't really see how.  But if writing my own Diff method is the
> > > >> only option, there's not much I can do then.
>
> > > >> Thanks,
> > > >> -Gilbert
>
> > > >> On Jun 3, 5:53 pm, "Aaron S. Meurer" <[email protected]> wrote:
>
> > > >> > This has actually been discussed quite a bit before (a lot of people 
> > > >> > want to use Lagrangians).  You can search the mailing list.  From 
> > > >> > what I've seen, you will either have to write your own custom diff 
> > > >> > routine or do clever substitution of functions and derivatives with 
> > > >> > symbols.  I don't think I've ever seen anyone suggest extending 
> > > >> > Symbol to hold a time derivative, which is essentially just a more 
> > > >> > formal way of doing the substation method.  It might work.
>
> > > >> > Aaron Meurer
>
> > > >> > On Jun 3, 2011, at 6:05 PM, Gilbert Gede wrote:
>
> > > >> > > Hi,
> > > >> > > I was trying to implement some functionality for PyDy for this 
> > > >> > > year's GSoC, and was looking for some advice.
> > > >> > > In dynamics problems, you usually have time-varying quantities, 
> > > >> > > like generalized coordinates, speeds, and accelerations.  Often, 
> > > >> > > you want to take the partial derivative of an expression with 
> > > >> > > respect to the time derivative of one of these quantities.  This 
> > > >> > > come up when using Lagrange's Method (or Kane's Method).  It's 
> > > >> > > described to some degree here:
> > > >> > >http://en.wikipedia.org/wiki/Lagrangian_mechanics
> > > >> > >https://gist.github.com/1005937
> > > >> > > In Lagrange's Method, you end up taking the partial derivative of 
> > > >> > > the energy with respect to the time derivative of a generalized 
> > > >> > > coordinate.  I'm trying to figure out a way to make this work in 
> > > >> > > PyDy/SymPy. Derivative won't take in anything but a Symbol.
> > > >> > > The only idea I have come up with is to extend Symbol and write my 
> > > >> > > own .diff() method for it which returns a new symbol representing 
> > > >> > > the time differentiation of the original extended Symbol.  Once my 
> > > >> > > new object is inside a Mul or Add sympy object, then my .diff() 
> > > >> > > method is no longer called.
> > > >> > > Can anyone give some insight into how I could get this desired 
> > > >> > > behavior, taking the derivative of an expression wrt a 
> > > >> > > time-differentiated symbol, to work in a way consistent with 
> > > >> > > existing SymPy behavior?  Thanks.
>
> > > >> > > -Gilbert
>
> > > >> > > --
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