Article references

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:

An Adaptive Parametrized-Background Data-Weak approach to variational data assimilation

Tommaso Taddei

ESAIM: M2AN, 51 5 (2017) 1827-1858

Published online: 2017-10-24

DOI: https://doi.org/10.1051/m2an/2017005

This article has been cited by the following article(s):

Variational data assimilation with finite-element discretization for second-order parabolic interface equation

Xuejian Li, Xiaoming He, Wei Gong and Craig C Douglas
IMA Journal of Numerical Analysis 45 (1) 451 (2025)
https://doi.org/10.1093/imanum/drae010

Bias and multiscale correction methods for variational state estimation

F. Galarce, J. Mura and A. Caiazzo
Applied Mathematical Modelling 138 115761 (2025)
https://doi.org/10.1016/j.apm.2024.115761

Dictionary-based model reduction for state estimation

Anthony Nouy and Alexandre Pasco
Advances in Computational Mathematics 50 (3) (2024)
https://doi.org/10.1007/s10444-024-10129-4

A real-time variational data assimilation method with data-driven model enrichment for time-dependent problems

Willy Haik, Yvon Maday and Ludovic Chamoin
Computer Methods in Applied Mechanics and Engineering 405 115868 (2023)
https://doi.org/10.1016/j.cma.2022.115868

Olga Mula
2328 73 (2023)
https://doi.org/10.1007/978-3-031-29563-8_2

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)
https://doi.org/10.1137/21M1430480

State estimation in nonlinear parametric time dependent systems using tensor train

Lombardi Damiano
International Journal for Numerical Methods in Engineering 123 (20) 4935 (2022)
https://doi.org/10.1002/nme.7067

Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models

Felipe Galarce, Jean-Frédéric Gerbeau, Damiano Lombardi and Olga Mula
Computer Methods in Applied Mechanics and Engineering 375 113559 (2021)
https://doi.org/10.1016/j.cma.2020.113559

Reconstructing haemodynamics quantities of interest from Doppler ultrasound imaging

Felipe Galarce, Damiano Lombardi and Olga Mula
International Journal for Numerical Methods in Biomedical Engineering 37 (2) (2021)
https://doi.org/10.1002/cnm.3416

Optimal Reduced Model Algorithms for Data-Based State Estimation

Albert Cohen, Wolfgang Dahmen, Ronald DeVore, et al.
SIAM Journal on Numerical Analysis 58 (6) 3355 (2020)
https://doi.org/10.1137/19M1255185

Adaptive PBDW Approach to State Estimation: Noisy Observations; User-Defined Update Spaces

Yvon Maday and Tommaso Taddei
SIAM Journal on Scientific Computing 41 (4) B669 (2019)
https://doi.org/10.1137/18M116544X

3D-VAR for parameterized partial differential equations: a certified reduced basis approach

Nicole Aretz-Nellesen, Martin A. Grepl and Karen Veroy
Advances in Computational Mathematics 45 (5-6) 2369 (2019)
https://doi.org/10.1007/s10444-019-09713-w

A Localization Strategy for Data Assimilation; Application to State Estimation and Parameter Estimation

Tommaso Taddei and Anthony T. Patera
SIAM Journal on Scientific Computing 40 (2) B611 (2018)
https://doi.org/10.1137/17M1116830

Sensor placement in nuclear reactors based on the generalized empirical interpolation method

J.-P. Argaud, B. Bouriquet, F. de Caso, et al.
Journal of Computational Physics 363 354 (2018)
https://doi.org/10.1016/j.jcp.2018.02.050