Orthogonal Low Rank Tensor Approximation: Alternating Least Squares Method and Its Global Convergence
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Publication:3453427
DOI10.1137/130943133zbMath1330.15031OpenAlexW2087648855WikidataQ57439744 ScholiaQ57439744MaRDI QIDQ3453427
Moody T. Chu, Bo Yu, Liqi Wang
Publication date: 27 November 2015
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/35f5f37dc9665714e91cc11936962317587d89e6
global convergenceZariski topologypolar decompositionlow rank approximationalternating least squaresorthogonal tensor decompositionhigh-order power method
Inverse problems in linear algebra (15A29) Numerical solutions to equations with linear operators (65J10) Multilinear algebra, tensor calculus (15A69) Numerical linear algebra (65F99)
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