Dear all,
I want to differentiate my pde solution U with respect to some design variables E, that is, computing the Jacobian dU/dE. I already implemented the Jacobian analytically, however, I would like to double check it using AD. " (In theory an entire program could be made differentiable. This could be useful in, for example, the sensitivity analysis of solutions with respect to input parameters. However, to date this has not been tested.)" I found this information in the AD module. Also the relevant tuturials -- step33, step 70, step 71 -- do not cover the topic sensitivity analysis, but only AD at cell- and quadrature point level. That said, is it possible (with reasonable efforts) to make the entire dealii program AD differentiable, or is it recommendable to use other open source tools for that purpose? My biggest concern is the solution of the linear system because the solver classes require in most cases a Vector<double> and, consequently, the dependency u(E) can not be encoded. Best Simon -- 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 [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/dealii/f9f35931-c2b1-4e49-9910-e142b7684804n%40googlegroups.com.
