I'll throw out that there's some interesting work being done on 
advection problems over in the MOOSE framework. You can see this issue 
in particular which demonstrates use of Discontinuous Galerkin -> Finite 
Volume to eliminate oscillations (with some really awesome graphics 
thrown in): https://github.com/idaholab/moose/issues/7967


On 01/17/2017 03:48 PM, Roy Stogner wrote:
> On Sun, 15 Jan 2017, Mike Marchywka wrote:
>
>> http://am2012.math.cas.cz/proceedings/contributions/madden.pdf
> This is actually kind of dumbfounding: Fix Your Solutions With One
> Weird Trick That Numerical Analysists Hate!  I wonder if there's any
> extension to 2D/3D?  Any way to express the algorithm as a single weak
> formulation that gives you a solution function rather than a weird two
> phase solve that gives a set of solution points?
>
> IIRC a lot of FEM stabilization methods history could be (over)
> simplified as "(1) see what works for finite differences on uniform
> grids, (2) figure out how to copy it in a finite element setting, (3)
> figure out how to make it more sensible under some theoretical
> criteria, which often makes it better or more generalizable in
> practice too".  But most of the important step (1) work happened
> before I was born, yet this paper (well, the 2007 paper they cite)
> sounds like a real fresh entry in that vein.
>
>> Interested if anyone cares to comment on current status and libmesh 
>> facilities
>> that may be relevant or if this is just a "lmgtfy" case. I gathered the 
>> normal
>> approaches were largely things that modify the apparent diffusivity
>> which does not seem to be a lot different from anything else you may add to 
>> a system.
> Most numerical stabilization schemes do boil down into "adding
> diffusivity" one way or another, but it's not as hokey as it sounds.
> The trick is to do what's called "consistent stabilization": in the
> finite element sense, consistent stabilization changes the weak
> formulation in such a way that the exact solution to the problem is
> still a solution to the stabilized weak problem.  This (as well as
> making sure the effects are anisotropic in 2D/3D) is generally enough
> to get you a good solution (even an exact interpolant, in 1D!) without
> smearing out real features.
> ---
> Roy
>
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