Thanks for the hint!
I will look at the matrix more closely.
For reference:
if (!rstart) {
rstart = 1;
i = 0; col[0] = 0; col[1] = 1; value[0] = 2.0; value[1] = -1.0;
ierr = MatSetValues(A,1,&i,2,col,value,INSERT_VALUES);CHKERRQ(ierr);
}
if (rend == n) {
rend = n-1;
On Fri, Jun 5, 2020 at 2:18 PM Fazlul Huq wrote:
> The same is happening with "-pc_type hypre -pc_hypre_type boomerang" and
> with "-pc_type ilu".
>
> I tried with,
> ierr =
> KSPSetTolerances(ksp,1.e-10,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT);CHKERRQ(ierr);
> this also.
>
> Getting higher val
The same is happening with "-pc_type hypre -pc_hypre_type boomerang" and
with "-pc_type ilu".
I tried with,
ierr =
KSPSetTolerances(ksp,1.e-10,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT);CHKERRQ(ierr);
this also.
Getting higher values of error even then.
Any suggestion to go over this issue?
Shal
On Fri, Jun 5, 2020 at 12:32 PM Fazlul Huq wrote:
> Input string:
> mpiexec -np 1 ./poisson_m -n 1000 -pc_type cholesky -ksp_view
> -ksp_converged_reason -ksp_monitor_true_residual
>
> Output is attached herewith.
>
Solving the problem...
0 KSP preconditioned resid norm 9.741453255800e+0
Input string:
mpiexec -np 1 ./poisson_m -n 1000 -pc_type cholesky -ksp_view
-ksp_converged_reason -ksp_monitor_true_residual
Output is attached herewith.
Thank you.
Sincerely,
Huq
On Fri, Jun 5, 2020 at 10:16 AM Matthew Knepley wrote:
> On Fri, Jun 5, 2020 at 11:04 AM Fazlul Huq wrote:
>
On Fri, Jun 5, 2020 at 11:04 AM Fazlul Huq wrote:
> Hello All,
> I'm trying to calculate the norm_2 error of a solution.
> Here, vector s: Analytical solution
> vector x: Numerical solution
>
> ierr = VecView(s,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
> ierr = VecView(x,PETSC_VIEWER_ST
Hello All,
I'm trying to calculate the norm_2 error of a solution.
Here, vector s: Analytical solution
vector x: Numerical solution
ierr = VecView(s,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecView(x,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecAXPY(x,-1.0,s);CHKERRQ(ier
