My comments are between Barry’s lines Marco Cisternino
From: Barry Smith <bsm...@petsc.dev> Sent: venerdì 24 dicembre 2021 23:57 To: Marco Cisternino <marco.cistern...@optimad.it> Cc: Matthew Knepley <knep...@gmail.com>; petsc-users <petsc-users@mcs.anl.gov> Subject: Re: [petsc-users] Nullspaces I tried your code but it appears the ./gyroid_solution.txt contains a vector of all zeros. Is this intended? Yes it is, it should be the initial guess and not the solution of the linear system. It is read just to build a null space vector of the right size in case 2. However, the purpose here is not to solve the linear system but to understand why the constant null space is working (it passes the MatNullSpaceTest) in case 1 and it is not working in case 2. That was what Matthew asked me in his last message to this thread. Actually VecDuplicateVecs() does not copy the values in the vector so your nsp[0] will contain the zero vector anyways. I know, that’s why there is a VecSet on nsp Vec. Is it not correct? It should be a Vec of 1s … Would you be able to send the data that indicates what rows of the vector are associated with each subdomain? For example a vector with all 1s on the first domain and all 2s on the second domain? I think with this one should be able to construct the 2 dimensional null space. I would, but again the case was meant to test the two ways of building the constant null space. The idea is to understand why case 1 passes the MatNullSpaceTest and case 2 doesn’t. Barry Thank you, Barry. As soon as the issue Matthew noted is understood, I will come back to the 2-dimensional null space. On Dec 16, 2021, at 11:09 AM, Marco Cisternino <marco.cistern...@optimad.it<mailto:marco.cistern...@optimad.it>> wrote: Hello Matthew, as promised I prepared a minimal (112960 rows. I’m not able to produce anything smaller than this and triggering the issue) example of the behavior I was talking about some days ago. What I did is to produce matrix, right hand side and initial solution of the linear system. As I told you before, this linear system is the discretization of the pressure equation of a predictor-corrector method for NS equations in the framework of finite volume method. This case has homogeneous Neumann boundary conditions. Computational domain has two independent and separated sub-domains. I discretize the weak formulation and I divide every row of the linear system by the volume of the relative cell. The underlying mesh is not uniform, therefore cells have different volumes. The issue I’m going to explain does not show up if the mesh is uniform, same volume for all the cells. I usually build the null space sub-domain by sub-domain with MatNullSpaceCreate(getCommunicator(), PETSC_FALSE, nConstants, constants, &nullspace); Where nConstants = 2 and constants contains two normalized arrays with constant values on degrees of freedom relative to the associated sub-domain and zeros elsewhere. However, as a test I tried the constant over the whole domain using 2 alternatives that should produce the same null space: 1. MatNullSpaceCreate(getCommunicator(), PETSC_TRUE, 0, nullptr, &nullspace); 2. Vec* nsp; VecDuplicateVecs(solution, 1, &nsp); VecSet(nsp[0],1.0); VecNormalize(nsp[0], nullptr); MatNullSpaceCreate(getCommunicator(), PETSC_FALSE, 1, nsp, &nullspace); Once I created the null space I test it using: MatNullSpaceTest(nullspace, m_A, &isNullSpaceValid); The case 1 pass the test while case 2 don’t. I have a small code for matrix loading, null spaces creation and testing. Unfortunately I cannot implement a small code able to produce that linear system. As attachment you can find an archive containing the matrix, the initial solution (used to manually build the null space) and the rhs (not used in the test code) in binary format. You can also find the testing code in the same archive. I used petsc 3.12(gcc+openMPI) and petsc 3.15.2(intelOneAPI) same results. If the attachment is not delivered, I can share a link to it. Thanks for any help. Marco Cisternino Marco Cisternino, PhD marco.cistern...@optimad.it<mailto:marco.cistern...@optimad.it> ______________________ Optimad Engineering Srl Via Bligny 5, Torino, Italia. +3901119719782 www.optimad.it<http://www.optimad.it/> From: Marco Cisternino <marco.cistern...@optimad.it<mailto:marco.cistern...@optimad.it>> Sent: martedì 7 dicembre 2021 19:36 To: Matthew Knepley <knep...@gmail.com<mailto:knep...@gmail.com>> Cc: petsc-users <petsc-users@mcs.anl.gov<mailto:petsc-users@mcs.anl.gov>> Subject: Re: [petsc-users] Nullspaces I will, as soon as possible... Scarica Outlook per Android<https://aka.ms/AAb9ysg> ________________________________ From: Matthew Knepley <knep...@gmail.com<mailto:knep...@gmail.com>> Sent: Tuesday, December 7, 2021 7:25:43 PM To: Marco Cisternino <marco.cistern...@optimad.it<mailto:marco.cistern...@optimad.it>> Cc: petsc-users <petsc-users@mcs.anl.gov<mailto:petsc-users@mcs.anl.gov>> Subject: Re: [petsc-users] Nullspaces On Tue, Dec 7, 2021 at 11:19 AM Marco Cisternino <marco.cistern...@optimad.it<mailto:marco.cistern...@optimad.it>> wrote: Good morning, I’m still struggling with the Poisson equation with Neumann BCs. I discretize the equation by finite volume method and I divide every line of the linear system by the volume of the cell. I could avoid this division, but I’m trying to understand. My mesh is not uniform, i.e. cells have different volumes (it is an octree mesh). Moreover, in my computational domain there are 2 separated sub-domains. I build the null space and then I use MatNullSpaceTest to check it. If I do this: MatNullSpaceCreate(getCommunicator(), PETSC_TRUE, 0, nullptr, &nullspace); It works This produces the normalized constant vector. If I do this: Vec nsp; VecDuplicate(m_rhs, &nsp); VecSet(nsp,1.0); VecNormalize(nsp, nullptr); MatNullSpaceCreate(getCommunicator(), PETSC_FALSE, 1, &nsp, &nullspace); It does not work This is also the normalized constant vector. So you are saying that these two vectors give different results with MatNullSpaceTest()? Something must be wrong in the code. Can you send a minimal example of this? I will go through and debug it. Thanks, Matt Probably, I have wrong expectations, but should not it be the same? Thanks Marco Cisternino, PhD marco.cistern...@optimad.it<mailto:marco.cistern...@optimad.it> ______________________ Optimad Engineering Srl Via Bligny 5, Torino, Italia. +3901119719782 www.optimad.it<http://www.optimad.it/> -- What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead. -- Norbert Wiener https://www.cse.buffalo.edu/~knepley/<http://www.cse.buffalo.edu/~knepley/> <nullspaceTest.tar.gz>
