Mohsen,
I would like to compute the B-operator for each element by means of B = inv(J)
* transposed(dN).
Therefore I need the inverse of the jacobian and transposed shape function
gradients.
My approach now was to use "update_inverse_jacobians" from FEValues. Then use
"fe_values.get_inverse_jacobians ()".
But is it correct or am I going a totally wrong way?
It sounds like the right direction. What happens when you try?
How can I store the inverse jacobians since the return data type is const
std::vector<DerivativeForm<1,spacedim,dim> >?
I don't understand the question. Since this is the return type, why can't you
just store these objects as given?
Best
W.
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Wolfgang Bangerth email: [email protected]
www: http://www.math.colostate.edu/~bangerth/
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