> > 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 <jro...@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 > >