> On Aug 29, 2017, at 9:49 PM, zakaryah . <[email protected]> wrote:
> 
> I figured out the cause of my problems with the debugger and the Jacobian 
> evaluation - I had a silly memory corruption issue which is now fixed.
> 
> I am still having trouble with convergence.  I am using a test problem of 
> intermediate size, which has nearly identical Jacobians when comparing finite 
> difference to hand-coded.  If I run with -snes_type newtonls -snes_monitor 
> -ksp_monitor -ksp_ksp_monitor -ksp_monitor_true_residual 
> -ksp_converged_reason -snes_converged_reason, the very first SNES iteration 
> fails to converge, due to the KSP failing to converge after 10,000 iterations.
> 
> Following the "Why is my iterative solver not converging?" FAQ, I ran the 
> problem on an even smaller grid, with -snes_type newtonls -snes_monitor 
> -ksp_monitor -ksp_ksp_monitor -ksp_monitor_true_residual 
> -ksp_converged_reason -snes_converged_reason -pc_type svd -pc_svd_monitor, 
> and the linear system was not close to singular.  I don't have any reason to 
> suspect that the linear system becomes more singular as the grid size 
> increases.  Next, I ran with -snes_type newtonls -snes_monitor -ksp_monitor 
> -ksp_ksp_monitor -ksp_monitor_true_residual -ksp_converged_reason 
> -snes_converged_reason -ksp_gmres_restart 1000 -pc_type none, and the KSP 
> seemed to converge better, but the SNES only ran for a few iterations before 
> it stopped with "Nonlinear solve did not converge due to DIVERGED_LINE_SEARCH 
> iterations 7".
> 
> ​Can I conclude from this that running the KSP without a pre-conditioner ​is 
> a good idea?  

  -pc_type none is almost always a bad idea.

> At that point, should I go back to asking why the SNES doesn't converge, ala 
> the "Why is Newton's method not converging?" FAQ?

  Use -pc_type lu and send all the output with -snes_monitor 
-snes_linesearch_monitor -ksp_monitor

   Step one is to get Newton converging well, step 2 is to optimize the linear 
solver, but never do step 2 before step 1, hence stick to LU until Newton is 
converging well.


> 
> Thanks for the continuing help!
> 

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