Extreme eigenvalues of large sparse matrices by Rayleigh quotient and modified conjugate gradients
Computer Methods in Applied Mechanics and Engineering
Computer Methods in Applied Mechanics and Engineering
ICIAM 91 Proceedings of the second international conference on Industrial and applied mathematics
Software for simplified Lanczos and QMR algorithms
Applied Numerical Mathematics - Special issue on iterative methods for linear equations
A Jacobi--Davidson Iteration Method for Linear EigenvalueProblems
SIAM Journal on Matrix Analysis and Applications
The symmetric eigenvalue problem
The symmetric eigenvalue problem
Jacobi--Davidson Style QR and QZ Algorithms for the Reduction of Matrix Pencils
SIAM Journal on Scientific Computing
A Supernodal Approach to Sparse Partial Pivoting
SIAM Journal on Matrix Analysis and Applications
Templates for the solution of algebraic eigenvalue problems: a practical guide
Templates for the solution of algebraic eigenvalue problems: a practical guide
Numerical Linear Algebra for High Performance Computers
Numerical Linear Algebra for High Performance Computers
Finite Element Method for Elliptic Problems
Finite Element Method for Elliptic Problems
SIAM Journal on Scientific Computing
Multilevel Method for Mixed Eigenproblems
SIAM Journal on Scientific Computing
An Improved Algebraic Multigrid Method for Solving Maxwell's Equations
SIAM Journal on Scientific Computing
On a parallel multilevel preconditioned Maxwell eigensolver
Parallel Computing - Parallel matrix algorithms and applications (PMAA'04)
Journal of Scientific Computing
A fast multigrid-based electromagnetic eigensolver for curved metal boundaries on the Yee mesh
Journal of Computational Physics
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We investigate eigensolvers for computing a few of the smallest eigenvalues of a generalized eigenvalue problem resulting from the finite element discretization of the time independent Maxwell equation. Various multilevel preconditioners are employed to improve the convergence and memory consumption of the Jacobi-Davidson algorithm and of the locally optimal block preconditioned conjugate gradient (LOBPCG) method. We present numerical results of very large eigenvalue problems originating from the design of resonant cavities of particle accelerators.