
doi: 10.1137/0904019
This paper develops an efficient multigrid algorithm for solving the eigenvalue problem associated with a linear differential operator. The algorithm is based on the full approximation scheme (FAS) and incorporates a Ritz projection process for simultaneous computation of several eigenvalues and their eigenvectors. Included are the results of some numerical experiments that illustrate its performance in various contexts.
Numerical methods for eigenvalue problems for boundary value problems involving PDEs, full approximation scheme, Estimates of eigenvalues in context of PDEs, multigrid algorithm, Ritz projection, numerical experiments, fast solver, Rayleigh quotient, Gauss-Seidel relaxation
Numerical methods for eigenvalue problems for boundary value problems involving PDEs, full approximation scheme, Estimates of eigenvalues in context of PDEs, multigrid algorithm, Ritz projection, numerical experiments, fast solver, Rayleigh quotient, Gauss-Seidel relaxation
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