Hi,

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?


How can I store the inverse jacobians since the return data type is const 
std::vector<DerivativeForm<1,spacedim,dim> >?

Kind regards,
Seyed Ali Mohseni

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