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A comparison of solvers for large eigenvalue problems occuring in the design of resonant cavities

✍ Scribed by Peter Arbenz; Roman Geus


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
140 KB
Volume
6
Category
Article
ISSN
1070-5325

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✦ Synopsis


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.