A Riemannian trust-region method for low-rank tensor completion

DOI10.1002/NLA.2175OpenAlexW2749421738WikidataQ115405343 ScholiaQ115405343MaRDI QIDQ3120344

Gennadij Heidel, Volker H. Schulz

Publication date: 1 March 2019

Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1703.10019

zbMATH Keywords

Riemannian optimizationRiemannian Hessianmultilinear ranklow-rank tensorstrust-region methods, Tucker decomposition

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Multilinear algebra, tensor calculus (15A69)

Related Items (6)

A trust region method for solving multicriteria optimization problems on Riemannian manifolds ⋮ Riemannian conjugate gradient method for low-rank tensor completion ⋮ A Riemannian Newton trust-region method for fitting Gaussian mixture models ⋮ Stability analysis of hierarchical tensor methods for time-dependent PDEs ⋮ Riemannian conjugate gradient descent method for fixed multi rank third-order tensor completion ⋮ The Condition Number of Riemannian Approximation Problems

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