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

[Jose E. Roman]

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