Thick-Restart Lanczos Method for Large Symmetric Eigenvalue Problems

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Thick-Restart Lanczos Method for Symmetric Eigenvalue Problems

For real symmetric eigenvalue problems, there are a number of algorithms that are mathematically equivalent, for example, the Lanczos algorithm, the Arnoldi method and the unpreconditioned Davidson method. The Lanczos algorithm is often preferred because it uses signiicantly fewer arithmetic operations per iteration. To limit the maximum memory usage, these algorithms are often restarted. In re...

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The Lanczos process is a well known technique for computing a few, say k, eigenvalues and associated eigenvectors of a large symmetric n×n matrix. However, loss of orthogonality of the computed Krylov subspace basis can reduce the accuracy of the computed approximate eigenvalues. In the implicitly restarted Lanczos method studied in the present paper, this problem is addressed by fixing the num...

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ژورنال

عنوان ژورنال: SIAM Journal on Matrix Analysis and Applications

سال: 2000

ISSN: 0895-4798,1095-7162

DOI: 10.1137/s0895479898334605