On Thu, Mar 6, 2014 at 5:24 PM, Mohammad Mirzadeh <[email protected]>wrote:

> Hi guys,
>
> I have a discretization of Poisson equation with Neumann bc for embedded
> boundary grids in such a way that that nullspace is not the usual constant
> vector. Instead the nullspace is constant in the domain of interest and
> zero elsewhere.
>
> I compute this nullspace myself and have checked it against MATLAB by
> dumping the matrix and computing the nullspace explicitly using null
> function -- they match and there is only this single vector. Then I take
> this calculated vector and subtract it off the matrix and rhs.
>

"subtract it off the matrix" does not make sense to me. Are you calling
KSPSetNullSpace()?

   Matt


> However, I am having convergence issues. For instance this is the output
> of ksp_monitor_true_residual for one particular run:
>
>   0 KSP preconditioned resid norm 3.033840960250e+02 true resid norm 
> 2.332886580745e-01 ||r(i)||/||b|| 1.000000000000e+00
>   1 KSP preconditioned resid norm 1.018974811826e+01 true resid norm 
> 1.941629896918e-02 ||r(i)||/||b|| 8.322864527335e-02
>   2 KSP preconditioned resid norm 5.450493684941e-02 true resid norm 
> 1.029339589324e-02 ||r(i)||/||b|| 4.412300185615e-02
>   3 KSP preconditioned resid norm 3.944064039516e-02 true resid norm 
> 1.030277925024e-02 ||r(i)||/||b|| 4.416322394443e-02
>   4 KSP preconditioned resid norm 6.286181172600e-05 true resid norm 
> 1.030243055045e-02 ||r(i)||/||b|| 4.416172923059e-02
>   5 KSP preconditioned resid norm 4.349133658643e-06 true resid norm 
> 1.030239080406e-02 ||r(i)||/||b|| 4.416155885630e-02
>   6 KSP preconditioned resid norm 9.279429568232e-08 true resid norm 
> 1.030239169298e-02 ||r(i)||/||b|| 4.416156266666e-02
>   7 KSP preconditioned resid norm 3.032522248740e-09 true resid norm 
> 1.030239175066e-02 ||r(i)||/||b|| 4.416156291393e-02
>   8 KSP preconditioned resid norm 6.533747246875e-09 true resid norm 
> 1.030239175718e-02 ||r(i)||/||b|| 4.416156294184e-02
>   9 KSP preconditioned resid norm 6.083185162500e-12 true resid norm 
> 1.030239175259e-02 ||r(i)||/||b|| 4.416156292220e-02
>  10 KSP preconditioned resid norm 5.510319622225e-12 true resid norm 
> 1.030239175259e-02 ||r(i)||/||b|| 4.416156292221e-02
>  11 KSP preconditioned resid norm 5.456758524534e-12 true resid norm 
> 1.030239175259e-02 ||r(i)||/||b|| 4.416156292221e-02
>  12 KSP preconditioned resid norm 5.456756081783e-12 true resid norm 
> 1.030239175259e-02 ||r(i)||/||b|| 4.416156292221e-02
>  13 KSP preconditioned resid norm 5.456755930952e-12 true resid norm 
> 1.030239175259e-02 ||r(i)||/||b|| 4.416156292221e-02
>  14 KSP preconditioned resid norm 5.456755930949e-12 true resid norm 
> 1.030239175259e-02 ||r(i)||/||b|| 4.416156292221e-02
>  15 KSP preconditioned resid norm 5.456755930949e-12 true resid norm 
> 1.030239175259e-02 ||r(i)||/||b|| 4.416156292221e-02
>
>
> As you can see, the true residual is quite large and moreover it does not 
> reduce beyond a certain point. This is using hypre as preconditioner, but the 
> situation is equally bad with several other preconditioner (ilu, sor, jacobi, 
> or even none). As for the solution itself, the error has poor to none 
> convergence under grid refinement. All this suggests that the linear system 
> is not converging in my case.
>
>
> Do you have any idea/suggestions why this is happening and how I can avoid it?
>
>
> Thanks
>
>


-- 
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

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