http://www.mcs.anl.gov/petsc/documentation/faq.html#kspdiverged


On Jul 21, 2012, at 4:30 AM, Bao Kai wrote:

> 
> HI, all, 
> 
> I am still suffering from the slow convergence rate of the KSP solution. 
> 
> I changed the code to use Petsc3.3 and then try the gamg precoditioner, the 
> convergence rate is better, while it took more total time because it took 
> much more time for each iteration and some extra time for pre-processing. 
> 
> I am wondering if there are some ways that can help me to investigate the 
> slow convergence rate for KSP solution so that I can do some improvement.  Is 
> DMMG will be a good solution?
> 
> Thank you very much. 
> 
> Best Regards, 
> Kai  
> 
> Message: 2
> Date: Wed, 11 Jul 2012 15:17:15 -0500
> From: Matthew Knepley <knepley at gmail.com>
> To: PETSc users list <petsc-users at mcs.anl.gov>
> Subject: Re: [petsc-users] Does this mean the matrix is
>         ill-conditioned?
> Message-ID:
>         <CAMYG4Gk7T=q+w1PKO7G_TW07iDzux90Sncbv9K7d0FD-MDrLRg at 
> mail.gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
> 
> On Wed, Jul 11, 2012 at 12:40 PM, Bao Kai <paeanball at gmail.com> wrote:
> 
> > Hi, all,
> >
> > The following is the output from the solution of a Poisson equation
> > from Darcy's law.
> >
> > To compute the condition number of matrix, I did not use PC and use
> > GMRES KSP to do the test.
> >
> > It seems like that the condition number keep increasing during the
> > iterative solution. Does this mean the matrix is ill-conditioned?
> >
> 
> Generally yes. Krylov methods take a long time to resolve the smallest
> eigenvalues, so this approximation is not great.
> 
> 
> > For this test, it did not achieve convergence with 10000 iterations.
> >
> > When I use BJOCABI PC and BICGSTAB KSP, it generally takes about 600
> > times iteration to get the iteration convergent.
> >
> > Any suggestion for improving the convergence rate will be much
> > appreciated.  The solution of this equation has been the bottleneck of
> > my code, it takes more than 90% of the total time.
> >
> 
> Try ML or GAMG.
> 
>     Matt
> 
> 
> > Thank you very much.
> >
> > Best Regards,
> > Kai
> >
> 
> 

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