Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Federico Pichi, Beatriz Moya and Jan S. Hesthaven
Journal of Computational Physics 501 112762 (2024)

Neural Galerkin schemes with active learning for high-dimensional evolution equations

Joan Bruna, Benjamin Peherstorfer and Eric Vanden-Eijnden
Journal of Computational Physics 496 112588 (2024)

Non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems

Junming Duan and Jan S. Hesthaven
Journal of Computational Physics 497 112621 (2024)

Model-order reduction for hyperbolic relaxation systems

Sara Grundel and Michael Herty
International Journal of Nonlinear Sciences and Numerical Simulation 24 (7) 2763 (2023)

Manifold Approximations via Transported Subspaces: Model Reduction for Transport-Dominated Problems

Donsub Rim, Benjamin Peherstorfer and Kyle T. Mandli
SIAM Journal on Scientific Computing 45 (1) A170 (2023)

Learning to Generate Wasserstein Barycenters

Julien Lacombe, Julie Digne, Nicolas Courty and Nicolas Bonneel
Journal of Mathematical Imaging and Vision 65 (2) 354 (2023)

Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds and Approximation with Weakly Symplectic Autoencoder

Patrick Buchfink, Silke Glas and Bernard Haasdonk
SIAM Journal on Scientific Computing 45 (2) A289 (2023)

Lookahead data-gathering strategies for online adaptive model reduction of transport-dominated problems

Rodrigo Singh, Wayne Isaac Tan Uy and Benjamin Peherstorfer
Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (11) (2023)

Rank-adaptive structure-preserving model order reduction of Hamiltonian systems

Jan S. Hesthaven, Cecilia Pagliantini and Nicolò Ripamonti
ESAIM: Mathematical Modelling and Numerical Analysis 56 (2) 617 (2022)

Registration-based model reduction of parameterized two-dimensional conservation laws

Andrea Ferrero, Tommaso Taddei and Lei Zhang
Journal of Computational Physics 457 111068 (2022)

Linear/Ridge expansions: enhancing linear approximations by ridge functions

Constantin Greif, Philipp Junk and Karsten Urban
Advances in Computational Mathematics 48 (3) (2022)

State Estimation with Model Reduction and Shape Variability. Application to biomedical problems

Felipe Galarce, Damiano Lombardi and Olga Mula
SIAM Journal on Scientific Computing 44 (3) B805 (2022)

Mapping of coherent structures in parameterized flows by learning optimal transportation with Gaussian models

Angelo Iollo and Tommaso Taddei
Journal of Computational Physics 471 111671 (2022)

Numerical Mathematics and Advanced Applications ENUMATH 2019

H. Bansal, S. Rave, L. Iapichino, W. Schilders and N. van de Wouw
Lecture Notes in Computational Science and Engineering, Numerical Mathematics and Advanced Applications ENUMATH 2019 139 83 (2021)

Structure-preserving reduced-order modeling of Korteweg–de Vries equation

Murat Uzunca, Bülent Karasözen and Süleyman Yıldız
Mathematics and Computers in Simulation 188 193 (2021)