Thanks a lot. If you need more information and/or my code again, please let
me know.
Em sex., 1 de abr. de 2022 às 19:27, Barry Smith
escreveu:
>
> I'll take a look at it this weekend. The computed preconditioned
> residual norm is a real number so I am not sure where PETSc will be able to
>
I'll take a look at it this weekend. The computed preconditioned residual
norm is a real number so I am not sure where PETSc will be able to detect the
problem appropriately before it is too late.
> On Apr 1, 2022, at 6:14 PM, Giovane Avancini wrote:
>
> Hi Barry, it's me again.
>
>
Ok thanks! I think I understand now.
On Fri, Apr 1, 2022 at 12:44 PM Matthew Knepley wrote:
> On Fri, Apr 1, 2022 at 1:08 PM Samuel Estes
> wrote:
>
>> Thank you for all the help. I think I'm mostly clear now.
>>
>> I think my only remaining question relates to point 1:
>> So let's call the
On Fri, Apr 1, 2022 at 1:08 PM Samuel Estes wrote:
> Thank you for all the help. I think I'm mostly clear now.
>
> I think my only remaining question relates to point 1:
> So let's call the global matrix across all processors A and let's say it's
> a square matrix of size n. Then each processor
Thank you for all the help. I think I'm mostly clear now.
I think my only remaining question relates to point 1:
So let's call the global matrix across all processors A and let's say it's
a square matrix of size n. Then each processor has a subset of the rows of
A so that there's in principle a
What is the signature of `integrate_adaptive()`?
As Matt points out you may be copying the pointer somewhere, maybe
`integrate_adaptive()` is copy-constructing its `local_calculator` argument
(and hence its `local_vector`)?
Best regards,
Jacob Faibussowitsch
(Jacob Fai - booss - oh - vitch)
On Fri, Apr 1, 2022 at 12:57 PM Samuel Estes
wrote:
> Ah, so let me see if I understand this now. So basically you preallocate
> for this "dummy matrix" of type MatPreallocator. But rather than simply
> calling MatXXXAIJSetPreallocation() to allocate space, you actually tell
> this "dummy
Ah, so let me see if I understand this now. So basically you preallocate
for this "dummy matrix" of type MatPreallocator. But rather than simply
calling MatXXXAIJSetPreallocation() to allocate space, you actually tell
this "dummy matrix" exactly where the non-zeros will be. You then call this
On Fri, Apr 1, 2022 at 12:45 PM Samuel Estes
wrote:
> Thanks! This seems like it might be what I need. I'm still a little
> unclear on how it works though? My problem is basically that for any given
> row, I know the total non-zeros but not how many occur in the diagonal vs
> off-diagonal.
Thanks! This seems like it might be what I need. I'm still a little unclear
on how it works though? My problem is basically that for any given row, I
know the total non-zeros but not how many occur in the diagonal vs
off-diagonal. Without knowledge of the underlying grid, I'm not sure how
there
On Fri, Apr 1, 2022 at 12:27 PM Samuel Estes
wrote:
> Hi,
>
> I have a problem in which I know (roughly) the number of non-zero entries
> for each row of a matrix but I don't have a convenient way of determining
> whether they belong to the diagonal or off-diagonal part of the parallel
> matrix.
Hi,
I have a problem in which I know (roughly) the number of non-zero entries
for each row of a matrix but I don't have a convenient way of determining
whether they belong to the diagonal or off-diagonal part of the parallel
matrix. Is there some way I can just allocate the total number of
I don't know why valgrind is not putting in line numbers but something is
clearly very wrong with data structure initialization. I am not sure if it is
really directly related to PETSc but somehow comes about in the C++ constructor
business, which seems simple enough in your code but I don't
Dear all,
I want to implement the adaptive finite element method using the DMPlex
interface. So I would like to know whether DMPlex supports local (also
hierarchical) refinements of tetrahedron elements. I found that there is an
adaptation method called SBR, but it seems that it only supports
I recommend first running with valgrind.
I tried to build your code but got compile errors from arma:: being unknown.
Where does it come from? Is it only in a super new version of Boost?
> On Apr 1, 2022, at 6:50 AM, Roland Richter wrote:
>
> I re-run my code with a debug version of
On Fri, Apr 1, 2022 at 7:22 AM Roland Richter
wrote:
> In my destructor I have the following phrase:
>
> * if(local_vec != PETSC_NULL) {*
> *PetscInt vecSize = 0;*
> *PetscErrorCode ierr;*
> *std::cerr << local_vec <<
In my destructor I have the following phrase:
/ if(local_vec != PETSC_NULL) {//
// PetscInt vecSize = 0;//
// PetscErrorCode ierr;//
// std::cerr << local_vec << '\n';//
// ierr = VecGetSize(local_vec,
On Fri, Apr 1, 2022 at 6:50 AM Roland Richter
wrote:
> I re-run my code with a debug version of PETSc, resulting in
>
> [0]PETSC ERROR: - Error Message
> --
> [0]PETSC ERROR: Corrupt argument:
I re-run my code with a debug version of PETSc, resulting in
[0]PETSC ERROR: - Error Message
--
[0]PETSC ERROR: Corrupt argument: https://petsc.org/release/faq/#valgrind
[0]PETSC ERROR: Object already free: Parameter
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