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Computing the Analytic Singular Value Decomposition via a Pathfollowing

Vladimír Janovský (), Drahoslava Janovská () and Kunio Tanabe ()
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Vladimír Janovský: Charles University, Faculty of Mathematics and Physics
Drahoslava Janovská: Institute of Chemical Technology
Kunio Tanabe: The Institute of Statistical Mathematics

A chapter in Numerical Mathematics and Advanced Applications, 2006, pp 954-962 from Springer

Abstract: Abstract The aim is to compute ASVD for large sparse matrices. In particular we will consider branches of selected singular values and the corresponding left/right singular vectors. We apply a predictor-corrector algorithm with an adaptive stepsize control.

Keywords: Singular Value Decomposition; Singular Vector; Sparsity Pattern; Extrapolation Strategy; Left Singular Vector (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-34288-5_95

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DOI: 10.1007/978-3-540-34288-5_95

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