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Journal article

Truncated VSV Solutions to Symmetric Rank-Deficient Problems

In Bit 2002, Volume 42, Issue 3, pp. 531-540
From

Scientific Computing, Department of Informatics and Mathematical Modeling, Technical University of Denmark1

Department of Informatics and Mathematical Modeling, Technical University of Denmark2

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.

Language: English
Publisher: Kluwer Academic Publishers
Year: 2002
Pages: 531-540
ISSN: 15729125 and 00063835
Types: Journal article
DOI: 10.1023/A:1021929210145
ORCIDs: Hansen, Per Christian

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