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Cited article:

Greedy Training Algorithms for Neural Networks and Applications to PDEs

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Journal of Computational Physics 112084 (2023)
https://doi.org/10.1016/j.jcp.2023.112084

Low-Rank Approximations for Parametric Non-Symmetric Elliptic Problems

Tomás Chacón Rebollo, Macarena Gómez Mármol and Isabel Sánchez Muñoz
Frontiers in Physics 10 (2022)
https://doi.org/10.3389/fphy.2022.869681

Randomized residual‐based error estimators for the proper generalized decomposition approximation of parametrized problems

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International Journal for Numerical Methods in Engineering 121 (23) 5153 (2020)
https://doi.org/10.1002/nme.6339

On the convergence of alternating minimization methods in variational PGD

A. El Hamidi, H. Ossman and M. Jazar
Computational Optimization and Applications 68 (2) 455 (2017)
https://doi.org/10.1007/s10589-017-9920-y

Ideal minimal residual-based proper generalized decomposition for non-symmetric multi-field models – Application to transient elastodynamics in space-time domain

L. Boucinha, A. Ammar, A. Gravouil and A. Nouy
Computer Methods in Applied Mechanics and Engineering 273 56 (2014)
https://doi.org/10.1016/j.cma.2014.01.019