A locally convergent Jacobi iteration for the tensor singular value problem

DOI10.1007/s11045-017-0485-9zbMath1448.94085OpenAlexW2601861499MaRDI QIDQ784616

Siep Weiland, Hanumant Singh Shekhawat

Publication date: 3 August 2020

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-017-0485-9

zbMATH Keywords

Jacobi iterationsingular value decompositionstensor decompositions

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Eigenvalues, singular values, and eigenvectors (15A18)

Uses Software

• TensorToolbox

Cites Work

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• A Multilinear Singular Value Decomposition
• On the Best Rank-1 and Rank-(R₁ ,R₂ ,. . .,R_N) Approximation of Higher-Order Tensors
• Singular Value Decompositions and Low Rank Approximations of Tensors
• Most Tensor Problems Are NP-Hard

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