A literature survey of low‐rank tensor approximation techniques

L Grasedyck, D Kressner, C Tobler - GAMM‐Mitteilungen, 2013 - Wiley Online Library
During the last years, low‐rank tensor approximation has been established as a new tool in
scientific computing to address large‐scale linear and multilinear algebra problems, which …

A short review on model order reduction based on proper generalized decomposition

F Chinesta, P Ladeveze, E Cueto - Archives of Computational Methods in …, 2011 - Springer
This paper revisits a new model reduction methodology based on the use of separated
representations, the so called Proper Generalized Decomposition—PGD. Space and time …

PGD-Based Computational Vademecum for Efficient Design, Optimization and Control

F Chinesta, A Leygue, F Bordeu, JV Aguado… - … methods in Engineering, 2013 - Springer
In this paper we are addressing a new paradigm in the field of simulation-based engineering
sciences (SBES) to face the challenges posed by current ICT technologies. Despite the …

Recent advances and new challenges in the use of the proper generalized decomposition for solving multidimensional models

F Chinesta, A Ammar, E Cueto - Archives of Computational methods in …, 2010 - Springer
This paper revisits a powerful discretization technique, the Proper Generalized
Decomposition—PGD, illustrating its ability for solving highly multidimensional models. This …

A priori model reduction through proper generalized decomposition for solving time-dependent partial differential equations

A Nouy - Computer Methods in Applied Mechanics and …, 2010 - Elsevier
Over the past years, model reduction techniques have become a necessary path for the
reduction of computational requirements in the numerical simulation of complex models. A …

The latin multiscale computational method and the proper generalized decomposition

P Ladevèze, JC Passieux, D Néron - Computer Methods in Applied …, 2010 - Elsevier
The LATIN multiscale computational method and the Proper Generalized Decomposition -
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An overview of the proper generalized decomposition with applications in computational rheology

F Chinesta, A Ammar, A Leygue, R Keunings - Journal of Non-Newtonian …, 2011 - Elsevier
We review the foundations and applications of the proper generalized decomposition (PGD),
a powerful model reduction technique that computes a priori by means of successive …

Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution

O San, A Rasheed, T Kvamsdal - GAMM‐Mitteilungen, 2021 - Wiley Online Library
Most modeling approaches lie in either of the two categories: physics‐based or data‐driven.
Recently, a third approach which is a combination of these deterministic and statistical …

Advanced simulation of models defined in plate geometries: 3D solutions with 2D computational complexity

B Bognet, F Bordeu, F Chinesta, A Leygue… - Computer Methods in …, 2012 - Elsevier
Many models in polymer processing and composites manufacturing are defined in
degenerated three-dimensional domains, involving plate or shell geometries. The reduction …

Space–time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems

Y Choi, P Brown, W Arrighi, R Anderson… - Journal of Computational …, 2021 - Elsevier
A classical reduced order model for dynamical problems involves spatial reduction of the
problem size. However, temporal reduction accompanied by the spatial reduction can further …