A comparison of solvers for large eigenvalue problems occuring in the design of resonant cavities
Peter Arbenz, Roman Geus · Numerical Linear Algebra with Applications · 1999
We present experiments with various solvers for large sparse generalized symmetric matrix eigenvalue problems. These problems occur in the computation of a few of the lowest frequencies of standing electromagnetic waves in resonant cavities with the finite element method. The solvers investigated are (1) subspace iteration, (2) block Lanczos algorithm, (3) implicitly restarted Lanczos algorithm and (4) Jacobi–Davidson algorithm. The experiments have been conducted on a Hewlett-Packard Exemplar S-Class system. Copyright © 1999 John Wiley & Sons, Ltd.