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Sébastien Boyaval
Sébastien Boyaval
Laboratoire d'hydraulique Saint-Venant, Ecole des Ponts ParisTech
Verified email at enpc.fr - Homepage
Title
Cited by
Cited by
Year
Reduced basis techniques for stochastic problems
S Boyaval, C Le Bris, T Lelievre, Y Maday, NC Nguyen, AT Patera
Archives of Computational methods in Engineering 17, 435-454, 2010
1692010
A reduced basis approach for variational problems with stochastic parameters: Application to heat conduction with variable Robin coefficient
S Boyaval, C Le Bris, Y Maday, NC Nguyen, AT Patera
Computer Methods in Applied Mechanics and Engineering 198 (41-44), 3187-3206, 2009
1062009
Reduced-basis approach for homogenization beyond the periodic setting
S Boyaval
Multiscale Modeling & Simulation 7 (1), 466-494, 2008
1022008
Existence and approximation of a (regularized) Oldroyd-B model
JW Barrett, S Boyaval
Mathematical Models and Methods in Applied Sciences 21 (09), 1783-1837, 2011
812011
Free-energy-dissipative schemes for the Oldroyd-B model
S Boyaval, T Lelièvre, C Mangoubi
ESAIM: Mathematical Modelling and Numerical Analysis-Modélisation …, 2009
612009
Hybridization of mixed high-order methods on general meshes and application to the Stokes equations
J Aghili, S Boyaval, DA Di Pietro
Computational Methods in Applied Mathematics 15 (2), 111-134, 2015
502015
A new model for shallow viscoelastic fluids
F Bouchut, S Boyaval
Mathematical Models and Methods in Applied Sciences 23 (08), 1479-1526, 2013
472013
A fast Monte–Carlo method with a reduced basis of control variates applied to uncertainty propagation and Bayesian estimation
S Boyaval
Computer Methods in Applied Mechanics and Engineering 241, 190-205, 2012
472012
Reduced basis approximation and a posteriori error bounds for 4D-Var data assimilation
M Kaercher, S Boyaval, MA Grepl, K Veroy
Optimization and Engineering 19 (3), 663-695, 2018
392018
A variance reduction method for parametrized stochastic differential equations using the reduced basis paradigm
S Boyaval, T Lelièvre
362010
Unified derivation of thin-layer reduced models for shallow free-surface gravity flows of viscous fluids
F Bouchut, S Boyaval
European Journal of Mechanics-B/Fluids 55, 116-131, 2016
152016
Numerical simulation of the dynamics of sedimentary river beds with a stochastic Exner equation
E Audusse, S Boyaval, N Goutal, M Jodeau, P Ung
ESAIM: Proceedings and Surveys 48, 321-340, 2015
152015
Mathematical modelling and numerical simulation in materials science
S Boyaval
Paris Est, 2009
142009
Uncertainty Quantification on a real case with TELEMAC-2D
C Goeury, T David, R Ata, S Boyaval, Y Audouin, N Goutal, AL Popelin, ...
Proceedings of the XXII TELEMAC-MASCARET Technical User Conference October …, 2015
132015
Finite element approximation of the FENE-P model
JW Barrett, S Boyaval
IMA Journal of Numerical Analysis 38 (4), 1599-1660, 2018
122018
On the modeling and simulation of non-hydrostatic dam break flows
A Caboussat, S Boyaval, A Masserey
Computing and visualization in science 14, 401-417, 2011
122011
Polynomial surrogates for open-channel flows in random steady state
N El Moçayd, S Ricci, N Goutal, MC Rochoux, S Boyaval, C Goeury, ...
Environmental Modeling & Assessment 23, 309-331, 2018
102018
Numerical simulation of 3D free surface flows, with multiple incompressible immiscible phases. Applications to impulse waves
N James, S Boyaval, A Caboussat, M Picasso
International Journal for Numerical Methods in Fluids 76 (12), 1004-1024, 2014
102014
Unified formal reduction for fluid models of free-surface shallow gravity-flows
F Bouchut, S Boyaval
arXiv preprint arXiv:1306.3464, 2013
102013
Finite-Volume approximation of the invariant measure of a viscous stochastic scalar conservation law
S Boyaval, S Martel, J Reygner
IMA Journal of Numerical Analysis 42 (3), 2710-2770, 2022
72022
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