ions on
> one face, or with pure neumann boundaries. Can you (I think Mark Adams is
> the one I'm talking with) give my some hints on the customization of the
> preconditioner?
> >
> > Regards,
> > --
> > Stefano
>
>
--
Stefano
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ts (at least using them via the PETSc interface). I
>> wish to test for new GAMG preconditioner from actual petsc-dev.
>> >
>> > I wish to test the solver either with essential boundary conditions on
>> one face, or with pure neumann boundaries. Can you (I think Mark Adam
reconditioner from actual petsc-dev.
> >
> > I wish to test the solver either with essential boundary conditions on one
> > face, or with pure neumann boundaries. Can you (I think Mark Adams is the
> > one I'm talking with) give my some hints on the customization of the
> > preconditioner?
> >
> > Regards,
> > --
> > Stefano
>
>
>
>
> --
> Stefano
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On Dec 3, 2011, at 12:56 PM, Mark F. Adams wrote:
>
> On Dec 3, 2011, at 12:03 PM, Stefano Zampini wrote:
>
>> Mark,
>>
>> I observe some strange behaviour in your gamg code: it always consider SA
>> method either if I pass "-pc_gamg_type geo" by command line or using
>> PCGAMGSetSolverType
Hi,
Has there been any discussion about adding a viewer for XDMF data? I'm
certainly interested in having one -- if somebody else is already working on it
or if it's never been considered before, I wouldn't mind helping/doing it. But
if it's been discussed and decided it isn't a good idea for s
begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener
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st HDF5
manages that for you.
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write with standard IO the XML file.
>
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HDF5 API, then write with standard IO
the XML file.
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;t like it.)
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d before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener
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..
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Stefano,
I have made the suggested changes so you should now be able to specify the
smoothers with gamg in the normal command line way (eg, -mg_levels_pc_type ilu)
and your errors should be caught more elegantly.
Unfortunately one of the regression tests is now failing, I'm working on that
wit
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it should be simple to accommodate.
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n any results to which their
experiments lead.
-- Norbert Wiener
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Norbert Wiener
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For PyLith we create datasets with dimensions of the form
[ntimesteps, npoints, ncomponents] where ntimesteps has a maximum
dimension of unlimited. This allows us to append data to the dataset at
any number of timesteps. We store the timestamps in a separate dataset.
In processing the output, we
Mark:
> I have made the suggested changes so you should now be able to specify the
> smoothers with gamg in the normal command line way (eg, -mg_levels_pc_type
> ilu) and your errors should be caught more elegantly.
>
> Unfortunately one of the regression tests is now failing, I'm working on tha
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