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Message #02183
Re: KrylovSolver and zero Pivot
On Wed, Mar 22, 2006 at 04:53:16PM +0100, Garth N. Wells wrote:
> On Wed, 2006-03-22 at 08:47 -0600, Anders Logg wrote:
> > On Wed, Mar 22, 2006 at 10:13:22AM +0000, Alexander Jarosch wrote:
> > > I got a bit lost in the current updates and now I just have a short
> > > question. I set up my solver like this:
> > >
> > > // Discretize equation
> > > Matrix A;
> > > Vector x, b;
> > > FEM::assemble(*a, *L, A, b, mesh, bc);
> > >
> > > // Solve the linear system
> > > KrylovSolver solver(Preconditioner::ilu);
> > > KSP ksp;
> > > ksp = solver.solver();
> > >
> > > PC pc;
> > > KSPGetPC(ksp, &pc);
> > > PCFactorSetShiftNonzero(pc, PETSC_DECIDE);
> > > //PCFactorSetShiftPd(pc, PETSC_TRUE);
> > >
> > > solver.set("Krylov relative tolerance", 1e-14);
> > >
> > > solver.solve(A, x, b);
> > >
> > > but Petsc still complains about zero Pivot. should the line
> > > "PCFactorSetShiftNonzero(pc, PETSC_DECIDE);" not take care of that.
> >
> > The problem is that KrylovSolver::solve() reads all parameters from
> > the (DOLFIN) database, including "Krylov relative tolerance", and sets
> > them before each solve. The solve() function also sets the
> > preconditioner. Therefore, setting options manually by PETSc calls
> > might not always work.
> >
> > The plan is to remove the KrylovSolver::solve() function if no one
> > objects (Garth?). This will leave two options: either use the simple
> > (but limited) DOLFIN wrapper or get the PETSc data structures and
> > solve using PETSc calls:
> >
> > Mat Amat = A.mat();
> > Vec xvec = x.vec();
> >
> > PETSc calls...
> >
>
> Another option is to add PETSc options at the command line. This is
> really easy,
>
> ./dolfin -pc_factor_shift_nonzero
>
> Just make sure that you have
> int main(int argc, char* argv[])
>
>
> > That said, I will (re-)add a parameter for "Krylov shift nonzero" so
> > you can do this natively in DOLFIN.
> >
> > I'll await comments from Garth and others before going ahead.
> >
> > /Anders
> >
>
> I think that removing KrylovSolver.solver() is the best approach from a
> robustness point of view. KrylovSolver then doesn't have to worry that a
> user might have messed with the PETSc solver directly. I do find the
> direct access to ksp useful, but I can live without.
>
> Garth
ok, I'll make the update.
/Anders
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