[petsc-users] DG within DMPlex

[Matthew Knepley]

On Tue, Oct 4, 2016 at 2:39 AM, Sander Arens <Sander.Arens at ugent.be> wrote:

> I think it would also be interesting to have something similar to TS ex25,
> but now with DMPlex and DG.
>

I think this would be my first target. I realize that the Laplacian is part
of it, so that Justin's suggestion of ex12
follows from that.

   Matt


> On 4 October 2016 at 04:57, Justin Chang <jychang48 at gmail.com> wrote:
>
>> Advection-diffusion equations. Perhaps SNES ex12 could be modified to
>> include an advection term?
>>
>> On Mon, Oct 3, 2016 at 9:52 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:
>>
>>>
>>> > On Oct 3, 2016, at 9:45 PM, Justin Chang <jychang48 at gmail.com> wrote:
>>> >
>>> > I am just saying the poission problem as an example since that is one
>>> of the simpler PDEs out there and already exists.
>>>
>>>   Sometimes an example for the wrong approach is worse than no example.
>>> Can you suggest a simple example where Discontinuous Galerkin makes good
>>> sense instead of when it may not make sense?
>>>
>>>    Barry
>>>
>>> >
>>> > On Mon, Oct 3, 2016 at 9:28 PM, Matthew Knepley <knepley at gmail.com>
>>> wrote:
>>> > On Mon, Oct 3, 2016 at 6:36 PM, Justin Chang <jychang48 at gmail.com>
>>> wrote:
>>> > Hi all,
>>> >
>>> > Is there, or will there be, support for implementing Discontinuous
>>> Galerkin formulations within the DMPlex framework? I think it would be nice
>>> to have something such as the SIPG formulation for the poisson problem in
>>> SNES ex12.c
>>> >
>>> > We will have a trial DG in PETSc shortly. However, I don't think DG
>>> methods make much sense for elliptic
>>> > problems. Why would I use it there?
>>> >
>>> >   Thanks,
>>> >
>>> >     Matt
>>> >
>>> > Thanks,
>>> > Justin
>>> > --
>>> > What most experimenters take for granted before they begin their
>>> experiments is infinitely more interesting than any results to which their
>>> experiments lead.
>>> > -- Norbert Wiener
>>> >
>>>
>>>
>>
>


-- 
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener
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