113 citations · 186 across the 5 of their papers we have counts for
6 papers
Epidemiological Forecasting with Model Reduction of Compartmental Models. Application to the COVID-19 pandemic
Athmane Bakhta, Thomas Boiveau, Yvon Maday +1
We propose a forecasting method for predicting epidemiological health series on a two-week horizon at the regional and interregional resolution. The approach is based on model orde…
An Adaptive Parareal Algorithm
Y. Maday, O. Mula
In this paper, we consider the problem of accelerating the numerical simulation of time dependent problems by time domain decomposition. The available algorithms enabling such deco…
PBDW method for state estimation: error analysis for noisy data and nonlinear formulation
Helin Gong, Yvon Maday, Olga Mula +1
We present an error analysis and further numerical investigations of the Parameterized-Background Data-Weak (PBDW) formulation to variational Data Assimilation (state estimation),…
Stabilization of (G)EIM in presence of measurement noise: application to nuclear reactor physics
J. P. Argaud, B. Bouriquet, H. Gong +2
The Empirical Interpolation Method (EIM) and its generalized version (GEIM) can be used to approximate a physical system by combining data measured from the system itself and a red…
Convergence analysis of the Generalized Empirical Interpolation Method
Y. Maday, O. Mula, G. Turinici
Let be a compact set of a Banach space . This paper analyses the "Generalized Empirical Interpolation Method" (GEIM) which, given a function , builds an in…
A Generalized Empirical Interpolation Method: application of reduced basis techniques to data assimilation
Y. Maday, O. Mula
This paper introduces a generalization of the empirical interpolation method (EIM) and the reduced basis method (RBM) in order to allow their combination with data mining and data…