Olga Mula
Cited by
Cited by
A generalized empirical interpolation method: application of reduced basis techniques to data assimilation
Y Maday, O Mula
Analysis and numerics of partial differential equations, 221-235, 2013
The generalized Empirical Interpolation Method: stability theory on Hilbert spaces with an application to the Stokes equation
Y Maday, O Mula, AT Patera, M Yano
Computer Methods in Applied Mechanics and Engineering 287, 310-334, 2015
Convergence analysis of the generalized empirical interpolation method
Y Maday, O Mula, G Turinici
SIAM Journal on Numerical Analysis 54 (3), 1713-1731, 2016
Some contributions towards the parallel simulation of time dependent neutron transport and the integration of observed data in real time
O Mula
Université Pierre et Marie Curie, Paris, 2014
A priori convergence of the Generalized Empirical Interpolation Method.
Y Maday, O Mula, G Turinici
Greedy algorithms for optimal measurements selection in state estimation using reduced models
P Binev, A Cohen, O Mula, J Nichols
SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1101-1126, 2018
The parareal in time algorithm applied to the kinetic neutron diffusion equation
AM Baudron, JJ Lautard, Y Maday, O Mula
Domain Decomposition Methods in Science and Engineering XXI, 437-445, 2014
Stabilization of (G) EIM in presence of measurement noise: application to nuclear reactor physics
JP Argaud, B Bouriquet, H Gong, Y Maday, O Mula
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM …, 2017
Sensor placement in nuclear reactors based on the generalized empirical interpolation method
JP Argaud, B Bouriquet, F De Caso, H Gong, Y Maday, O Mula
Journal of Computational Physics 363, 354-370, 2018
The DUNE-DPG library for solving PDEs with Discontinuous Petrov--Galerkin finite elements
F Gruber, A Klewinghaus, O Mula
Archive of Numerical Software 5 (1), 111–127, 2017
An adaptive nested source term iteration for radiative transfer equations
W Dahmen, F Gruber, O Mula
Mathematics of Computation, 2020
Optimal reduced model algorithms for data-based state estimation
A Cohen, W Dahmen, R Devore, J Fadili, O Mula, J Nichols
arXiv preprint arXiv:1903.07938, 2019
State estimation with nonlinear reduced models. Application to the reconstruction of blood flows with Doppler ultrasound images
F Galarce, JF Gerbeau, D Lombardi, O Mula
arXiv preprint arXiv:1904.13367, 2019
MINARET: Towards a time-dependent neutron transport parallel solver
AM Baudron, JJ Lautard, Y Maday, O Mula
SNA+ MC 2013-Joint International Conference on Supercomputing in Nuclear …, 2014
A Scalable Adaptive Parareal Algorithm with Online Stopping criterion
Y Maday, O Mula
Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces
V Ehrlacher, D Lombardi, O Mula, FX Vialard
arXiv preprint arXiv:1909.06626, 2019
PBDW method for state estimation: error analysis for noisy data and nonlinear formulation
H Gong, Y Maday, O Mula, T Taddei
arXiv preprint arXiv:1906.00810, 2019
Towards a Fully Scalable Balanced Parareal Method: Application to Neutronics
Y Maday, O Mula, MK Riahi
Sensor placement in nuclear reactors
JP Argaud, B Bouriquet, H Gong, Y Maday, O Mula
Submitted paper (under review), 0
An Adaptive Parareal Algorithm
Y Maday, O Mula
arXiv preprint arXiv:1909.08333, 2019
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