[Trilinos-Users] Add dense rank 1 matrix to sparse matrix
aklinvex at purdue.edu
Tue Nov 24 10:15:02 EST 2015
The only reason I can think of that would make AztecOO want to call
getrow() is that it's trying to use a preconditioner. (Krylov solvers
should only care about the Apply method.) Are you using a preconditioner?
I don't know how much you want to change your code, but our other Krylov
solver package Belos won't try to call getrow() for sure.
On Tue, Nov 24, 2015 at 1:25 AM, Danielle Catherine Maddix <
dcmaddix at stanford.edu> wrote:
> To be more clear, it seems that the problem is that I have defined my x
> and b using my blockMap. I am using my finite element block matrix as
> Epetra_FEVbrMatrix and have defined my vectors using this block map as
> well. It seems that the vectors must be defined with A.OperatorDomainMap()
> and A.OperatorRangeMap(), respectively. I was unclear when writing
> OperatorDomainMap() and OperatorRangeMap(), since they only return an
> Epetra_Map rather than Epetra_BlockMap. Is there not support for a
> BlockMap version?
> *From:* Alicia Klinvex <aklinvex at purdue.edu>
> *Sent:* Monday, November 23, 2015 12:31 PM
> *To:* Danielle Catherine Maddix
> *Cc:* trilinos-users at trilinos.org; Mark Hoemmen
> *Subject:* Re: [Trilinos-Users] Add dense rank 1 matrix to sparse matrix
> Hello Danielle,
> As far as I know, Trilinos does not have a sparse vector class. If you
> wanted to store your vector as a sparse matrix, you definitely could; I
> just don't know that it would be a great idea. Hopefully somebody else on
> the list can help you with that :-)
> The sparse matrix multiplication and addition functions are in a
> separate package called EpetraExt:
> I would definitely wait to hear back regarding the efficiency of such
> operations before making any changes to the current way you handle vectors
> Hope that helps!
> On Mon, Nov 23, 2015 at 11:30 AM, Danielle Catherine Maddix <
> dcmaddix at stanford.edu> wrote:
>> Hi Alicia,
>> Thank you for the clear and quick response. This was the exact
>> functionality I was looking for. The example was clear as well.
>> I just have one remaining question. In our current code, this vector v
>> in C = v*v^T, is compressed down to only storing its nonzero entries as a
>> sparse vector. I wanted to do the same here, but I do not see a vector
>> constructor which will take in a graph with the nonzero indices, such as in
>> the crsmatrix class.
>> I then thought about constructing v as crsmatrix with 1 row and then
>> calling v.apply on x for the dot product. Then, scaling v by this scalar.
>> There doesn't seem to be an available operation to add this to the vector
>> from the first multiplication, since the update routine
>> Y = 1.0*Y + (v^Tx)*v, requires v to be a vector.
>> I was wondering if there was a better solution. Also, would we be losing
>> efficiency by storing the zeros and those entries being used in the dot
>> product and addition or does Trilinos have a remove zeros routine?
>> Thank you!
>> *From:* Alicia Klinvex <aklinvex at purdue.edu>
>> *Sent:* Wednesday, November 18, 2015 1:11 PM
>> *To:* Danielle Catherine Maddix
>> *Cc:* trilinos-users at trilinos.org
>> *Subject:* Re: [Trilinos-Users] Add dense rank 1 matrix to sparse matrix
>> Hello Danielle,
>> Is this what you're trying to do: Solve a linear system A x = b, where A
>> = [some sparse matrix B] + [some rank 1 dense matrix C (which is never
>> formed explicitly)].
>> If so, we do have a matrix-free interface you could use to avoid having
>> to explicitly form A. There's an example that uses this interface in
>> Trilinos/packages/aztecoo/example/AztecOO_UserOpUserMat. Essentially, you
>> could define your own custom subclass of Epetra_Operator with an apply
>> method that does the following:
>> * compute sparse matrix vector multiplication using B's apply method
>> * compute C*x by using Epetra_Vector operations such as dot-product
>> * add the two together using an Epetra_Vector operation
>> Does that make sense? Please feel free to ask if this is unclear.
>> Thank you,
>> On Wed, Nov 18, 2015 at 11:36 AM, Danielle Catherine Maddix <
>> dcmaddix at stanford.edu> wrote:
>>> I have been transferring my lab's finite element code to a trilinos
>>> framework for the linear solver. I have assembled the values into the
>>> global stiffness matrix of type Epetra_FEVbrMatrix. However, in our
>>> current code at each time step for the linear solvers, such as GMRES, we
>>> compute the matrix vector products on this current values and then a matrix
>>> vector product by adding in the coupled boundary condition. These are
>>> stored in a separate array. Is there a way to interface with the AZTECOO
>>> solver to add in this matrix vector product at each iteration?
>>> This coupled boundary matrix consists of an outer product. Another
>>> option would be to add this rank 1 matrix to our sparse trilinos matrix.
>>> Can the Epetra_Operator be used for this? Is there an efficient built in
>>> method to add a sparse matrix to a dense rank 1 matrix? Perhaps using the
>>> wrapped blas routines? Forming the rank1 matrix will reduce the efficiency.
>>> Let me know if you have any advice on how to proceed.
>>> Thank you,
>>> Danielle Maddix
>>> Trilinos-Users mailing list
>>> Trilinos-Users at trilinos.org
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