Alternating Least Squares as Moving Subspace Correction-Reference-Cited by-同舟云学术

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Alternating Least Squares as Moving Subspace Correction

Published:2018-01 Issue:6 Volume:56 Page:3459-3479
ISSN:0036-1429
Container-title:SIAM Journal on Numerical Analysis
language:en
Short-container-title:SIAM J. Numer. Anal.

Author:

Oseledets Ivan V.,Rakhuba Maxim V.,Uschmajew André

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Numerical Analysis,Applied Mathematics,Computational Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/17M1148712

Reference13 articles.

1. Das Verfahren der Treppeniteration und verwandte Verfahren zur Lösung algebraischer Eigenwertprobleme

2. The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate

3. Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure

4. Musings on multilinear fitting

5. On Local Convergence of Alternating Schemes for Optimization of Convex Problems in the Tensor Train Format

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1. Tensor approximation of the self-diffusion matrix of tagged particle processes;Journal of Computational Physics;2023-05

2. Low-rank tensor methods for partial differential equations;Acta Numerica;2023-05

3. On global convergence of alternating least squares for tensor approximation;Computational Optimization and Applications;2022-10-27

4. Local convergence of alternating low‐rank optimization methods with overrelaxation;Numerical Linear Algebra with Applications;2022-07

5. Ubiquitous Nature of the Reduced Higher Order SVD in Tensor-Based Scientific Computing;Frontiers in Applied Mathematics and Statistics;2022-04-19

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