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Abstract: Symmetric VSV decompositions are new rank-revealing decompositions that exploit and preserve symmetry. Truncated VSV solutions are stabilized solutions computed by neglecting blocks in the VSV decomposition with small norm. We compare the truncated VSV solutions with truncated SVD solutions and give perturbation bounds for the VSV solutions. Numerical examples illustrate our results. (Update)
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BibTeX entry: (Update)
@misc{ fierro-truncated,
author = "Ricard D. Fierro and Per Christian Hansen",
title = "Truncated VSV Solutions to Symmetric Rank-Deficient Problems",
url = "citeseer.ist.psu.edu/fierro01truncated.html" }
Citations (may not include all citations):2441 Johns Hopkins University Press (context) - Golub, Van Loan et al. - 1996
3 A correlation-based subspace tracking algorithm (context) - Baker, DeGroat - 1998
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