On Thu, 23 Jan 2014 15:24:59 +0100
Anders Logg <[email protected]> wrote:

> On Thu, Jan 23, 2014 at 02:18:30PM +0100, Jan Blechta wrote:
> > On Thu, 23 Jan 2014 12:24:11 +0000
> > "Garth N. Wells" <[email protected]> wrote:
> >
> > > If someone would like to condense this thread, it would make a
> > > very nice 'question' on the Q&A page which could then be answered
> > > by whoever posts the question.
> >
> > I'll do it.
> 
> Great. It would be even more useful with a documented demo that
> explains all these issues in detail if you feel up to it.

Demo can come up when the question is resolved satisfactorily...

In fact, the two existing demos neumann-poisson, singular-poisson can be
improved and new demo using DirichletBC(..., 'pointwise') approach can
be added.

Jan

> 
> --
> Anders
> 
> 
> > Jan
> >
> > >
> > > Garth
> > >
> > >
> > > On 2014-01-22 19:23, Nico Schlömer wrote:
> > > >> As far as I can tell, I'm trying to solve the extended system,
> > > >> and it has no nullspace.
> > > >
> > > > There are two separate approaches discussed here:
> > > >
> > > >   * extending the system such that the nullspace is trivial
> > > > (Langrange)
> > > >   * using the Krylov solver on the original system with the
> > > > nontrivial nullspace, paying a little attention to the details.
> > > >
> > > > --Nico
> > > >
> > > >
> > > > On Wed, Jan 22, 2014 at 8:17 PM, Nikolaus Rath
> > > > <[email protected]> wrote:
> > > >> On 01/22/2014 11:08 AM, Nico Schlömer wrote:
> > > >>>>>>> As Garth was mentioning, this problem is delicate for
> > > >>>>>>> iterative solver, not only because
> > > >>>>>>> its indefiniteness, but because the Lagrangian constraint
> > > >>>>>>> you're imposing yields
> > > >>>>>>> a column (the last one) of the full matrix that belongs
> > > >>>>>>> to the kernel of the top-left block.
> > > >>>>>>>
> > > >>>>>>> Since the nullspace is at hands, I would provide it to the
> > > >>>>>>> solver and then use CG+AMG,
> > > >>>>>>> with Jacobi relaxation at coarser scale instead Gauss
> > > >>>>>>> elimination (at least with petsc boomeramg).
> > > >>>>>>
> > > >>>>>>
> > > >>>>>> Why is there a nullspace? Doesn't the \int u = 0 constraint
> > > >>>>>> remove the
> > > >>>>>> remaining degree of freedom resulting from the pure Neumann
> > > >>>>>> boundary
> > > >>>>>> conditions?
> > > >>>>>
> > > >>>>> It does not remove any DOF. It adds just one DOF - the
> > > >>>>> Lagrange multiplier and an equation which makes the system
> > > >>>>> regular.
> > > >>>>
> > > >>>> I'm probably just using different terminology, but how can
> > > >>>> the system be
> > > >>>> regular if it has a nullspace? If there is u such that A.u =
> > > >>>> 0, I would
> > > >>>> say that A is singular, not regular.
> > > >>>
> > > >>> The original problem is singular indeed. What Jan did is add a
> > > >>> row and
> > > >>> a column (Lagrange multiplier) such that the new extended
> > > >>> system is regular.
> > > >>
> > > >>
> > > >> This is what I thought - the extended system does *not* have a
> > > >> nullspace. But the extended system is the system we're trying
> > > >> to solve.
> > > >> So I'm not sure how to understand Simone's suggestion above:
> > > >>
> > > >>>>>>> Since the nullspace is at hands, I would provide it to the
> > > >>>>>>> solver and then use CG+AMG,
> > > >>>>>>> with Jacobi relaxation at coarser scale instead Gauss
> > > >>>>>>> elimination (at least with petsc boomeramg).
> > > >>
> > > >> As far as I can tell, I'm trying to solve the extended system,
> > > >> and it has no nullspace.
> > > >>
> > > >>
> > > >> Best,
> > > >> Nikolaus
> > > >>
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