Hi Reza,
I don't think there is a particular reason. Trilinos was simply chosen.
Making PETSc work like in spep-40 should be not an issue.
There are other tutorials that use PETSc and others that support both PETSc
and Trilinos.
PM
On Wednesday, 29 September 2021 at 03:42:04 UTC+2
Hi,
I was wondering why Trilinos is used in Step41 and not Petsc?
Thanks
Reza
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On 9/28/21 4:24 PM, Morris Jowas wrote:
That would be my pleasure Prof. I will endeavour to make a contribution once I
test and validate my implementation.
Outstanding! Feel free to ask here how to concretely submit patches for
inclusion, but in short, this is how this is done:
That would be my pleasure Prof. I will endeavour to make a contribution
once I test and validate my implementation.
Best regards,
MJ
On Tuesday, September 28, 2021 at 9:37:36 PM UTC+1 Wolfgang Bangerth wrote:
> On 9/28/21 11:59 AM, Morris Jowas wrote:
> > Thank you very much Bruno. I am
On 9/28/21 11:59 AM, Morris Jowas wrote:
Thank you very much Bruno. I am implementing your recommendation now.
step-6 already deals with a case where the coefficient is spatially variable,
but not tensor-valued. When you've got it figured out how to use tensor-valued
coefficients, might you
Kyle,
Have a look at VectorTools::point_value(
https://www.dealii.org/current/doxygen/deal.II/namespaceVectorTools.html#a7be5c7eed52308898dfaad91c4cff204
).
Best,
Daniel
Am Di., 28. Sept. 2021 um 13:04 Uhr schrieb Kyle Schwiebert <
kjsch...@mtu.edu>:
> Thank you for the help. I think that has
Thank you very much Bruno. I am implementing your recommendation now.
Best regards,
MJ
On Tuesday, September 28, 2021 at 6:53:37 PM UTC+1 bruno.t...@gmail.com
wrote:
> MJ,
>
> fe_values.shape_grad() returns a Tensor<1,dim> so you can do something
> like this
>
> Tensor<1,dim> k_grad;
> for
P.S. Here is the equation. Sorry it did not attach last time around:
On Tuesday, September 28, 2021 at 6:24:38 PM UTC+1 Morris Jowas wrote:
> Hello everyone,
>
>
>
> I am solving the heat equation with the Laplacian expressed in terms of
> spatially varying thermal conductivities (k_x, k_y
MJ,
fe_values.shape_grad() returns a Tensor<1,dim> so you can do something like
this
Tensor<1,dim> k_grad;
for (int d=0; d Hello everyone,
>
>
>
> I am solving the heat equation with the Laplacian expressed in terms of
> spatially varying thermal conductivities (k_x, k_y and k_z) as shown
Hello everyone,
I am solving the heat equation with the Laplacian expressed in terms of
spatially varying thermal conductivities (k_x, k_y and k_z) as shown below:
Can I please request your suggestions on how I may go about assigning the
three thermal conductivities to every cell in the
Thank you for the help. I think that has the pretty much sorted out for me.
One additional question: On this test problem people also like to know the
pressure drop across the obstacle. This basically involves calculating the
pressure at two points in the mesh and finding their difference. I
Hello everyone!
This is deal.II newsletter #184.
It automatically reports recently merged features and discussions about the
deal.II finite element library.
## Below you find a list of recently proposed or merged features:
#12779: Allow to disable fast matrix-free hanging-node algorithm
Deal all,
I have an issue implementing Dirichlet boundary conditions in a mixed
pressure-displacement problem.
In step-20 there is an example for implementing pressure boundary
conditions like that:
*template *
*class PressureBoundaryValues : public Function
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