AHBEIGS: will find a few eigenvalues and eigenvectors for either the standard eigenvalue problem A*x = lambda*x or the generalized eigenvalue problem A*x = lambda*B*x.
[V,D,FLAG] = AHBEIGS(A,OPTIONS)
[V,D,FLAG] = AHBEIGS(A,B,OPTIONS)
[V,D,FLAG] = AHBEIGS('Afunc',N,B,OPTIONS)
The first input argument must be a matrix A which can be passed as a numeric matrix or as a M-file ('Afunc') that computes the product A*X or inv(B)*A*X, where X is a (N x blsz) matrix.
The program is based on a block Arnoldi method, that makes use of Householder reflections to maintain orthogonality and restarting is accomplished by augmentation of the Krylov subspace with Schur vectors.
Research supported by NSF grant DMS-0311786.
James Baglama (2023). Augmented Householder Eigenvalue Solver (https://www.mathworks.com/matlabcentral/fileexchange/8339-augmented-householder-eigenvalue-solver), MATLAB Central File Exchange. Retrieved .
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