My apologies. I'm new at software development, but eager to learn. I forked the repo and modified with my changes. The problem I was having was because I was not using the Mesh constructor correctly for a 2D problem. I had
Mesh mesh(init.comm()); Instead of const unsigned int dim = 2; Mesh mesh(init.comm(),dim); My fork is https://github.com/salazardetroya/libmesh if you are interested in the changes I made. The example I'm using to test the changes is in another repo named AMR-vector. I also had a question about a function in the class Variable. The function n_components() /** * The number of components of this variable. */ unsigned int n_components() const { return type().family == SCALAR ? _type.order : 1; } for the class LAGRANGE_VEC should not be just 1, should it? This function is called in the class ExactSolution, where the only non-scalar FE family implemented is the SCALAR so I assumed I had to modify the n_components function as well. Thanks in advance Miguel On Mon, Jun 16, 2014 at 1:07 PM, Roy Stogner <[email protected]> wrote: > By the way, the line numbers you quoted are already off from master. >> If you are serious about doing development, you should really start >> using git and a libmesh fork. Then we can actually look at your >> branch, see the entire diff, and have a better idea of where bugs >> might be. >> > > This times a thousand. A public fork from which we can replicate any > bugs is invaluable, especially for things like a missing parent() > where the assertion itself is only useful for catching an error early > but where you really need to be able to see the stack trace and > examine variables to figure out *why* the error is there. > --- > Roy > -- *Miguel Angel Salazar de Troya* Graduate Research Assistant Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign (217) 550-2360 [email protected] ------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems _______________________________________________ Libmesh-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/libmesh-users
