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ESAIM: Proceedings and Surveys
Volume 73 (2023)
CEMRACS 2021 - Data Assimilation and Reduced Modeling for High Dimensional Problems
Luminy, France, July 19-August 27, 2021Virginie Ehrlacher, Damiano Lombardi, Olga Mula, Fabio Nobile and Tommaso Taddei (Eds.)
Open Access
Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system p. 2
Published online: 30 August 2023
Open Access
Wasserstein model reduction approach for parametrized flow problems in porous media p. 28
Published online: 30 August 2023
Open Access
Deep learning-based schemes for singularly perturbed convection-diffusion problems p. 48
Published online: 30 August 2023
Open Access
Parametrized non intrusive space-time approximation for explicit dynamic fem applications p. 68
Published online: 30 August 2023
Open Access
A component-based data assimilation strategy with applications to vascular flows p. 89
Published online: 30 August 2023
Open Access
Mortensen observer for a class of variational inequalities – lost equivalence with stochastic filtering approaches p. 130
Published online: 30 August 2023
Open Access
Impact of physical model error on state estimation for neutronics applications p. 158
Published online: 30 August 2023
Open Access
Computation of the self-diffusion coefficient with low-rank tensor methods: application to the simulation of a cross-diffusion system p. 173
Published online: 30 August 2023
Open Access
Accelerating metabolic models evaluation with statistical metamodels: application to Salmonella infection models p. 187
Published online: 30 August 2023
Open Access
Efficient approximations of the fisher matrix in neural networks using kronecker product singular value decomposition p. 218
Published online: 30 August 2023
Open Access
Generative methods for sampling transition paths in molecular dynamics p. 238
Published online: 30 August 2023