Hello,
I compute the error between the EIM-RB- and the FE-truth solution on a training set "offline" during the RB-greedy procedure. If I compute this same error in the "online" phase, on the same set of training parameters, I notice a deterioration of the maximum precision that can be reached (around 10^-8 vs. 10^-5.5). My guess is that something goes lost between "offline" and "online" during the reading/writing of the RB-data and/or of the RB-basis functions. Would it be possibile to avoid this loss? Since I started writing the code with an older libmesh version, I am still using the functions in rb_evaluation.h: legacy_write_offline_data_to_files legacy_read_offline_data_to_files Would I get better results using the new RBDataSerialization? My problem also involves EIM, but the EIM data are read-in also before the offline RB-Greedy, so I don't think this is relevant. Thanks a lot Lorenzo -- ============================ Lorenzo Zanon Graduate School AICES RWTH Aachen University Schinkelstr. 2a 52062 Aachen Deutschland za...@aices.rwth-aachen.de<mailto:za...@aices.rwth-aachen.de> +49 (0)241 80 99 746 ============================ ------------------------------------------------------------------------------ Mobile security can be enabling, not merely restricting. Employees who bring their own devices (BYOD) to work are irked by the imposition of MDM restrictions. Mobile Device Manager Plus allows you to control only the apps on BYO-devices by containerizing them, leaving personal data untouched! https://ad.doubleclick.net/ddm/clk/304595813;131938128;j _______________________________________________ Libmesh-users mailing list Libmesh-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/libmesh-users
