[petsc-users] SLEPc - Generalized symmetric eigenproblem using ARPACK

[Harshad Sahasrabudhe]

>
> Absolutely. Also, with Krylov-Schur you can adjust the restart parameter
> (which is hidden in ARPACK); it may help improve convergence in some cases.


Awesome. I'll just use Krylov-Schur then. Thanks.

On Wed, Mar 25, 2015 at 5:18 PM, Jose E. Roman <jroman at dsic.upv.es> wrote:

>
> El 25/03/2015, a las 22:06, Harshad Sahasrabudhe escribió:
>
> >
> > I thought ARPACK was faster when the system size is large and number of
> eigenvalues required is small. I will be working with sparse matrices of
> size ~60,000. Does SLEPC's Krylov-Schur have about the same performance as
> ARPACK for calculating ~50 eigenvalues for such matrices?
> >
>
> Absolutely. Also, with Krylov-Schur you can adjust the restart parameter
> (which is hidden in ARPACK); it may help improve convergence in some cases.
>
> http://slepc.upv.es/documentation/current/docs/manualpages/EPS/EPSKrylovSchurSetRestart.html
>
> Jose
>
>
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