Alternate algorithms to most referenced techniques of numerical optimization to solve the symmetric rank-\(R\) approximation problem of symmetric tensors

DOI10.1016/j.cam.2022.114792zbMath1505.65181OpenAlexW4295185350WikidataQ114201632 ScholiaQ114201632MaRDI QIDQ2087499

Jiayin Jing, Bo Yang, Guyan Ni, Ciwen Chen

Publication date: 21 October 2022

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2022.114792

zbMATH Keywords

symmetric tensorsymmetric rank-\(R\) approximationtensor CP-decomposition

Mathematics Subject Classification ID

Multilinear algebra, tensor calculus (15A69) Numerical methods for low-rank matrix approximation; matrix compression (65F55)

Cites Work

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• Generalized Canonical Polyadic Tensor Decomposition
• Low Complexity Damped Gauss--Newton Algorithms for CANDECOMP/PARAFAC
• Symmetric Tensors and Symmetric Tensor Rank
• A Semidefinite Relaxation Method for Partially Symmetric Tensor Decomposition

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