On Sun, Sep 10, 2023 at 4:16 PM Karthikeyan Chockalingam - STFC UKRI <
karthikeyan.chockalin...@stfc.ac.uk> wrote:
> Thank you. I almost got it and have a couple of questions.
>
>
>
> Let me summarize, I have an element Jacobian matrix of size 8 x 8 for
> QAUD4 (for variables u and v) ordered such
Thank you. I almost got it and have a couple of questions.
Let me summarize, I have an element Jacobian matrix of size 8 x 8 for QAUD4
(for variables u and v) ordered such that the degrees of freedom at a node are
grouped together i.e. [u1 v1 u2 v2 u3 v3 u4 v4].
Q1) But this ordering of element
Hi all,
I've been struggling for some time now trying to get a generally
constrained solver (ideally ALMM, but PDIPM might work too) to work in
python, specifically with FEniCS X. My model is an incremental variational
approach to plasticity and normally requires two lagrange multipliers
alongside
On Sun, Sep 10, 2023 at 3:15 PM Karthikeyan Chockalingam - STFC UKRI <
karthikeyan.chockalin...@stfc.ac.uk> wrote:
> I don’t see an option to give block size.
>
> https://petsc.org/release/manualpages/Mat/MatCreateAIJ/
>
https://petsc.org/release/manualpages/Mat/MatSetBlockSize/
Thanks,
I don’t see an option to give block size.
https://petsc.org/release/manualpages/Mat/MatCreateAIJ/
Many thanks,
Karthik.
From: Matthew Knepley
Date: Sunday, 10 September 2023 at 20:09
To: Chockalingam, Karthikeyan (STFC,DL,HC)
Cc: petsc-users@mcs.anl.gov
Subject: Re: [petsc-users] Coupled syst
On Sun, Sep 10, 2023 at 3:01 PM Karthikeyan Chockalingam - STFC UKRI <
karthikeyan.chockalin...@stfc.ac.uk> wrote:
> I will solve the coupled problem in a non-linear fashion using SNES, so I
> will have one residual for each variable R(u1) and R(u2) and the resulting
> Jacobian matrix
>
>
>
> J =
I will solve the coupled problem in a non-linear fashion using SNES, so I will
have one residual for each variable R(u1) and R(u2) and the resulting Jacobian
matrix
J = [J11 J12
J21 J22] for each element.
For first-order Lagrange elements (in 2D) will have four nodes, then J would be
> On Sep 10, 2023, at 5:54 AM, Maruthi NH wrote:
>
> Hi all,
>
> I am trying to accelerate the linear solver with PETSc GPU backend. For
> testing I have a simple 1D heat diffusion solver, here are some observations.
> 1. If I use -pc_type gamg it throws the following error
> ** On entry t
On Sun, Sep 10, 2023 at 1:48 PM Karthikeyan Chockalingam - STFC UKRI via
petsc-users wrote:
> Hello,
>
>
>
> I have so far solved scalar field problems using finite elements on a
> given (*unstructured*) mesh. I made use of MATMPIAIJ to create matrixes,
> MatCreateVecs(A, &b, &x) to create vector
Hello,
I have so far solved scalar field problems using finite elements on a given
(unstructured) mesh. I made use of MATMPIAIJ to create matrixes,
MatCreateVecs(A, &b, &x) to create vectors, and MatZeroRowsColumnsIS to set
boundary conditions.
Now, I would like to solve a coupled system of eq
Hi all,
I am trying to accelerate the linear solver with PETSc GPU backend. For
testing I have a simple 1D heat diffusion solver, here are some
observations.
1. If I use -pc_type gamg it throws the following error
** On entry to cusparseCreateCsr() parameter number 5 (csrRowOffsets) had
an illega
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