Hello!
I'm trying to solve the simplest linear advection equation:
partial(u) / partial(t) + partial(u) / partial(x) = 0, using the
Discontinuous Galerkin Method.
I've just begun using dealii, browsed a few initial tutorial programs
(steps 1 - 7, 12). Is there already an implementation written? I
On 3/3/19 10:24 PM, mboron1...@gmail.com wrote:
> Is there any equivalent of DoFTools::extract_boundary_dofs(inputs) for
> distributed memory parallelization in DEALII.
Not that I know. The problem is of course that no processor will know all
boundary DoFs (because it only knows its local part
Dear all,
Is there any equivalent of DoFTools::extract_boundary_dofs(inputs) for
distributed memory parallelization in DEALII.
On Thursday, February 21, 2019 at 3:32:08 PM UTC+5:30, mboro...@gmail.com
wrote:
>
> Dear all,
> I am Boron. I am a new to DEALII. I am currently trying to write a
>
On 3/3/19 10:34 PM, Apurva Tiwari wrote:
> I'm trying to solve the simplest linear advection equation:
> partial(u) / partial(t) + partial(u) / partial(x) = 0, using the
> Discontinuous
> Galerkin Method.
> I've just begun using dealii, browsed a few initial tutorial programs (steps
> 1
> - 7,
Hi Wolfgang Bangerth,
Thank you for your response. I am executing the commands in the following
order:
Installation:1. Unpacking
tar -xvf dealii-8.2.1.tar.gz
2. Configuring and building the library
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=/home/muhammad/Adil ../dealii-8.2.1
Hi,
I tried according to your instructions and it is working now.
Thank you.
On Sun, Mar 3, 2019 at 12:31 AM Wolfgang Bangerth
wrote:
> On 3/1/19 10:40 PM, Muhammad Adil wrote:
> > I have successfully installed the deal.II-8.2.1 by using the following
> > commands as shown in the attached
Hello everyone,
I have a quick question for which I have not found documentation.
The suggested compilation options for Trilinos do not suggest the use of
OpenMP and the flag is not enabled by default.
DEALII by default also compiles using TBB for shared memory parallelism.
Does this mean that
Thanks Wolfgang.I am just replying to add a couple of details that were not
100% obvious to me. Maybe someone else will benefit from this when the
search the post archive...
As Wolfgang stated, copying the vector that contains ghosted values
(relevant dofs) into a completely distributed vector
On 3/3/19 12:27 PM, Jean Ragusa wrote:
>
> As Wolfgang stated, copying the vector that contains ghosted values (relevant
> dofs) into a completely distributed vector allows you to use l2_norm() on
> it.What I didn't realize is that the l2_norm() on a distributed vector calls
> the
