On Mon, Jul 21, 2008 at 10:12 PM, Tim Lahey <[EMAIL PROTECTED]> wrote:
>
>
> On Jul 21, 2008, at 3:41 PM, Gary Furnish wrote:
>
>>
>> On Mon, Jul 21, 2008 at 10:00 AM, William Stein <[EMAIL PROTECTED]>
>> wrote:
>>> On Mon, Jul 21, 2008 at 6:28 PM,  <[EMAIL PROTECTED]> wrote:
>>>>
>>>> Hello all,
>>>>
>>>> I have a simple question about the capabilities of Sage that I have
>>>> not been able to resolve by looking at the documentation.  I often
>>>> find myself manipulating somewhat complex functions that take vector
>>>> arguments.  I then need to derive gradients, hessians, etc.  I
>>>> need to
>>>> do this with out knowing the dimensions of the vectors.  So for
>>>> example, what I would like to do is something like the following.
>>>> First, I would define the function f(x)=.5 * x' * A * x + b, perhaps
>>>> something like:
>>>>
>>>> A = matrix();
>>>> x = vector();
>>>> b = vector();
>>>> f = function( x'  * A * x + b);
>>>>
>>>> Then, I would like Sage to do the calculus for me, something like,
>>>> say:
>>>>
>>>> f.gradient()
>>>> sage) 2*A*x
>>>> f.hessian()
>>>> sage) A
>>>>
>>>> (Of course, I wouldn't bother using a computer algebra system for
>>>> such
>>>> a simple function, but you get the idea.)  My question is: can
>>>> Sage do
>>>> things like this?  I would like to avoid specifying the dimensions
>>>> of
>>>> x, or giving the entries of A when I define the function.
>>>
>>
>> My system does not currently support this, and I have no plans to
>> implement this, but it could be done pretty easily if there was a
>> dimensionless vectorspace and matrixspace object, but I'm not
>> completely convinced I see the point.  If one wanted to do this they
>> could just choose an arbitrary dimension, and as long as they don't do
>> anything that depends on the dimension it should still give the same
>> answer (in my system, not the current one).
>
> The purpose for this is computations like this come up in Finite Element
> Analysis when you are deriving the system of equations (and probably
> elsewhere).
> The reason for not specifying the dimensions is that you don't know the
> length of the vectors in advance since it is dependent upon the number
> of
> elements you choose. They have a definite structure, so once the size is
> specified, you can then fill in the vectors, but you don't specify the
> size
> in advance. The most you would do is say that A is n by n and x is n
> by 1.
>
> Maxima and Maple can't do these calculations (I've tried), but
> Mathematica
> can. I had to go through a lot of effort to figure out an alternative
> to use
> in Maple for deriving Finite Element equations, although I haven't
> been able
> to convert it into Sage.


Do you have some FEM code in Python?

We develope sfepy (CCing sfepy-devel):

http://code.google.com/p/sfepy/

and we'd like to hook symbolic capabilities to it, so that you can do
this kind of things symbolically. We just started to use SymPy for
checking the numerical solutions symbolically and my secret plan is to
be able to just write an equation in SymPy or Sage, optionally specify
some boundary conditions and get it solved using FEM.

Do you have some pointers to the manipulations in Mathematica? Let's
implement the same in Sage using the same or similar syntax.
I don't think it is difficult.

Ondrej

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