Multigrid Methods for Differential Eigenproblems
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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.
[1] W. Kahan. Relaxation methods for an eigenproblem , 1966 .
[2] L. G. Strakhovskaya. An iterative method for evaluating the first eigenvalue of an elliptic operator , 1977 .
[3] S. McCormick,et al. Simultaneous iteration for the matrix eigenvalue problem , 1977 .
[4] D. Brandt,et al. Multi-level adaptive solutions to boundary-value problems math comptr , 1977 .
[5] Eigenvalue and Near Eigenvalue Problems Solved by Brandt's Multigrid Method. , 1979 .