BTW, without telling me so much that you have to kill me...
What are you solving with 9 variables? More importantly, are they all the same
FE type?
When I first started putting the DofMap together Taylor-Hood elements were
typical, with varying orders for dfferent variables. But in *all* the
applications since equal order for all variables has worked fine.
The reason I ask is 'cus if you dig around in the DofMap, especially the
distribution part, there is a lot of code which could be simplified if you knew
a priori all variable types were identical. This is especially the case when
we build the graph of the sparse matrix - it should instead be done for one
prototypical variable and the pattern for the rest of the matrix can be
inferred. That is an n_vars^2 savings on something that happens at each
adaptive step.
Similarly, constraints are calculated n_vars times too many...
I've been thinking about a derived specialization of the DofMap for this
special (but common) case.
-Ben
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