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
