On the Global Convergence of the Alternating Least Squares Method for Rank-One Approximation to Generic Tensors
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Publication:2936586
DOI10.1137/130938207zbMath1305.65129OpenAlexW2001756763WikidataQ57423764 ScholiaQ57423764MaRDI QIDQ2936586
Publication date: 17 December 2014
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/4267ab9c6380bb057079570e1705f3ca66cb205a
algorithmglobal convergencetensor decompositionalternating least squaresZariski open setrank-one tensor approximation
Numerical solutions to overdetermined systems, pseudoinverses (65F20) Multilinear algebra, tensor calculus (15A69)
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