Thanks to both of you guys for answering my question.  I really appreciate
the response.
This clears things up.

Dan

On Fri, Jul 29, 2011 at 4:32 PM, Guido Kanschat <[email protected]> wrote:

> I guess the documentation is a bit confusing there. What I read is
> essentially this:
>
> 1. The partial derivatives of FE_Nedelec functions are correct only if the
> cell is a parallelogram in 2D or parallelepiped in 3D.
>
> 2. The curl of the FE_Nedelec functions is correct on general
> quadrilaterals, since the 'wrong' terms cancel
>
> Dan, does that answer your question?
>
> Guido
>
>
> On 07/28/2011 09:40 AM, Markus Bürg wrote:
>
>> Hello Dan,
>>
>> somehow I do not get your point. An affine mapping is a linear mapping.
>> Thus it
>> will do the right thing for bilinear mappings in 2d and trilinear mappings
>> in
>> 3d, but for higher order mappings it will introduce some error.
>>
>> Best Regards,
>> Markus
>>
>>
>>
>>
>> Am 28.07.11 16:30, schrieb Daniel Brauss:
>>
>>> Thanks for the reply Markus. I have looked through the link that you
>>> mentioned
>>>
>>> http://www.dealii.org/**developer/doxygen/deal.II/**
>>> classFE__Nedelec.html<http://www.dealii.org/developer/doxygen/deal.II/classFE__Nedelec.html>
>>>
>>> and do not see any mention of trilinear transformations. I do see
>>> bilinear
>>> mentioned in the paragraph
>>>
>>> "The first reason is that the gradient of the Jacobian vanishes if the
>>> cells
>>> are mapped by an affine mapping, to which the usual bilinear mapping
>>> reduces
>>> if the cell is a parallelogram. Then the gradient of the shape functions
>>> is
>>> computed exact, since the first term is zero."
>>>
>>> But this seems to imply that the transformation is again affine
>>> (combination
>>> of rotation, scaling, shear, and a translation/shift) as I interpret it
>>> as a
>>> shear. So it does not appear that a real bilinear or trilinear
>>> transformation
>>> is mentioned, where the jacobian of the element mapping is non-constant.
>>> This
>>> kind of situation arises in the torus I am meshing, where I get trilinear
>>> transformations. I cannot seem to get away from this, or would be happy
>>> to use
>>> a affine transformation. I guess my question is whether or not something
>>> special has to be done for stiffness matrix integrals having Nedelec
>>> shape
>>> functions with trilinear mappings from the reference element to the real
>>> elements?
>>>
>>> Thanks,
>>> Dan
>>>
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