Thanks for the suggestion.


I tried those two and obtained the following.  It suggests that I try snes_converged_reason but I think I did.


Maybe I'm not specifying the parameters correctly?


Any ideas what else I can try?


Cheers, Francis


Saving file at /QG2L-Stommel-psi-u-q.ipynb
  Linear firedrake_0_ solve did not converge due to DIVERGED_PCSETUP_FAILED iterations 0
                 PCSETUP_FAILED due to FACTOR_NUMERIC_ZEROPIVOT 
Nonlinear firedrake_0_ solve did not converge due to DIVERGED_LINEAR_SOLVE iterations 0
Traceback (most recent call last):
  File "test.py", line 93, in <module>
    soln0 = steadylinearQG2d(Ztrial, Ztest, Gwinds, bcs)
  File "test.py", line 48, in steadylinearQG2d
    linear_solver.solve()
  File "/home/fpoulin/software/firedrake/src/firedrake/firedrake/variational_solver.py", line 223, in solve
    solving_utils.check_snes_convergence(self.snes)
  File "/home/fpoulin/software/firedrake/src/firedrake/firedrake/solving_utils.py", line 233, in check_snes_convergence
    %s""" % (snes.getIterationNumber(), msg))
firedrake.exceptions.ConvergenceError: Nonlinear solve failed to converge after 0 nonlinear iterations.
Reason:
   Inner linear solve failed to converge after 0 iterations with reason: unknown reason (petsc4py enum incomplete?), try with -snes_converged_reason and -ksp_converged_reason




------------------
Francis Poulin                    
Associate Professor
Department of Applied Mathematics
University of Waterloo

email:           fpoulin@uwaterloo.ca
Web:            https://uwaterloo.ca/poulin-research-group/
Telephone:  +1 519 888 4567 x32637


From: firedrake-bounces@imperial.ac.uk <firedrake-bounces@imperial.ac.uk> on behalf of Lawrence Mitchell <lawrence.mitchell@imperial.ac.uk>
Sent: Wednesday, June 21, 2017 11:01:49 AM
To: firedrake@imperial.ac.uk
Subject: Re: [firedrake] problem solving a linear system
 


On 21/06/17 15:58, Francis Poulin wrote:
> Thank you Andrew.   We will look at that closely.
>
>
> But if we are solving a linear system using LU then we shouldn't be
> using snes though should we?  That is the error we are getting in
> convergence.

We always use SNES, but for linear problems it is set to ksponly (so
it's equivalent to just using KSP).  That error looks like potentially
you had a zero pivot in the LU factorisation?

What does running the solve with:

"ksp_converged_reason": True,
"snes_converged_reason": True,

(in addition to your other parameters)

say?

Lawrence

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