CSQI - Scientific computing and uncertainty quantification
14:15A posteriori error estimation for partial differential equations with random input data. Thèse EPFL, n° 7260 (2016)
14:31A Multi Level Monte Carlo Algorithm for the Treatment of Geometrical and Operational Uncertainties in Internal and External Aerodynamics. AIAA Aviation - 46th AIAA Fluid Dynamics Conference, Washington, D.C, 13-17 June 2016.
18:59Numerical methods for random and stochastic partial differential equations, in Stochastics and Partial Differential Equations Analysis and Computations, vol. 4, num. 1, p. 1-2, 2016.
09:18A Continuation Multi Level Monte Carlo (C-MLMC) Method for Uncertainty Quantifcation in Compressible Aerodynamics, submitted to ... available in Mathicse Report n° 25.2016, 2016.
09:40Analysis and Computation of Hyperbolic PDEs with Random Data, in Encyclopedia of Applied and Computational Mathematics, p. 51-58, 2015.
13:15Convergence analysis of Padé approximations for Helmholtz frequency response problems, submitted to .... available as mathicse report 24.2016, 2016.
11:21An Adaptive Sparse Grid Algorithm for Elliptic PDEs with Lognormal Diffusion Coefficient, in Sparse Grids and Applications - Stuttgart 2014, p. 191-220, Lecture Notes in Computational Science and Engineering 109, 2016.
10:47A posteriori error estimation for the steady Navier-Stokes equations in random domains, in Computer Methods in Applied Mechanics and Engineering, vol. 313, p. 483-511, 2017.
15:27Numerical Approximation of Flows in Random Porous Media. Thèse EPFL, n° 6860 (2016)
16:31Data-driven coarse graining in action: Modeling and prediction of complex systems, in Physical Review E, vol. 92, num. 4, p. 042139, 2015.