Hi deal.ii community, I also have a little question about postprocessing in different spaces. I am post processing two solutions of the same problem but solved in two different (pairs of) spaces. One quantity, for example, is called u and is either in H(curl) or in H(div) depending on the form of the problem. Another is sigma and it is either in H^1 or in H(curl), respectively.
I need to compute things that involve the divergence of u when u is in H(div) or the curl when u is in H(curl). Both things I do using the DataPostprocessor class with entries of the (matrix valued) gradient of u but I don't know the internals. My problem ist that when comparing quantities that should be similar according to the math then I get differences that are too large (intuitively). The thing is that when I have a quantity that is in H(curl) using Nedelec approximation then I can nicely take the curl but divergence will be zero by construction. Same if u is in H(div) with Raviart-Thomas approximation (then the curl is zero by construction). How is the computation of the gradient done internally? Best, Konrad -- The deal.II project is located at http://www.dealii.org/ For mailing list/forum options, see https://groups.google.com/d/forum/dealii?hl=en --- You received this message because you are subscribed to the Google Groups "deal.II User Group" group. To unsubscribe from this group and stop receiving emails from it, send an email to dealii+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/dealii/68c66960-82d8-4a63-92ac-9c104926959a%40googlegroups.com.