Best multilinear rank approximation of tensors with quasi-Newton methods on Grassmannians

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Summary

Algorithms for the reduced rank regression problem and algorithms for the computation of the best multilinear rank approximation of tensors are discussed and an algorithm that solves the generalized problem and identify properties of the input and output signals causing a singular objective matrix is given.

Type
article
Published
2008-01-01
Cited by
26
References
39

Keywords

Multilinear map, Rank (graph theory), Mathematics, Low-rank approximation, Singular value

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