On Tue, Feb 16, 2016 at 9:51 AM, Harshad Sahasrabudhe <hsaha...@purdue.edu>
wrote:

> Hi,
>
> I'm using QTrap to integrate a differential equation for a generalized
> eigenvalue problem. I'm using CondensedEigenSystem to solve the equation.
> When I use QTrap, I get a diagonal B matrix in
>
>     A \psi = \lambda B \psi
>
> So my question is: Is the sparsity pattern of B set according to the
> quadrature rule or is it the same as A?


A and B share the same sparsity pattern, which is determined by the element
connectivity and FE types involved, but not quadrature rules.



> I'm using KrylovSchur eigensolver
> in SLEPc and I find that the eigenvalue computation anti-scales when I use
>

anti-scales?


> Gauss quadrature. Having a diagonal pattern in B might fix the scaling and
> increase the performance.
>
> Do you have any other suggestions on improving the scaling?
>

Use preconditioners which scale well, like AMG, if they make sense for your
problem.

-- 
John
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