A Krylov-Schur approach to the truncated SVD
Computing a small number of singular values is required in many practical applications and it is therefore desirable to have efficient and robust methods that can generate such truncated singular value decompositions. A new method based on the Lanczos bidiagonalization and the Krylov-Schur method is...
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| Format: | Report |
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Unspecified
2008
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