Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds
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Publication:5094222
DOI10.1137/20M1356774zbMath1495.65083arXiv2103.14974OpenAlexW3148684197WikidataQ114074168 ScholiaQ114074168MaRDI QIDQ5094222
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Publication date: 2 August 2022
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2103.14974
Numerical mathematical programming methods (65K05) Multilinear algebra, tensor calculus (15A69) Methods of local Riemannian geometry (53B21)
Uses Software
Cites Work
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