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Jan S Hesthaven
Jan S Hesthaven
Professor of Mathematics and Provost, Ecole Polytechnique Federale de Lausanne (EPFL)
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Nodal discontinuous Galerkin methods: algorithms, analysis, and applications
JS Hesthaven, T Warburton
Springer Science & Business Media, 2007
36462007
High-order collocation methods for differential equations with random inputs
D Xiu, JS Hesthaven
SIAM Journal on Scientific Computing 27 (3), 1118-1139, 2005
19362005
Spectral methods for time-dependent problems
JS Hesthaven, S Gottlieb, D Gottlieb
Cambridge University Press, 2007
12382007
Certified reduced basis methods for parametrized partial differential equations
JS Hesthaven, G Rozza, B Stamm
Springer 590, 1-131, 2016
12342016
Nodal high-order methods on unstructured grids: I. Time-domain solution of Maxwell's equations
JS Hesthaven, T Warburton
Journal of Computational Physics 181 (1), 186-221, 2002
9482002
Non-intrusive reduced order modeling of nonlinear problems using neural networks
JS Hesthaven, S Ubbiali
Journal of Computational Physics 363, 55-78, 2018
4992018
Nodal discontinuous Galerkin methods on graphics processors
A Klöckner, T Warburton, J Bridge, JS Hesthaven
Journal of Computational Physics 228 (21), 7863-7882, 2009
4122009
Spectral methods for hyperbolic problems
D Gottlieb, JS Hesthaven
Journal of Computational and Applied Mathematics 128 (1-2), 83-131, 2001
4062001
From electrostatics to almost optimal nodal sets for polynomial interpolation in a simplex
JS Hesthaven
SIAM Journal on Numerical Analysis 35 (2), 655-676, 1998
3461998
On the constants in hp-finite element trace inverse inequalities
T Warburton, JS Hesthaven
Computer methods in applied mechanics and engineering 192 (25), 2765-2773, 2003
3402003
Nodal high-order discontinuous Galerkin methods for the spherical shallow water equations
FX Giraldo, JS Hesthaven, T Warburton
Journal of Computational Physics 181 (2), 499-525, 2002
3252002
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem
Q Wang, JS Hesthaven, D Ray
Journal of computational physics 384, 289-307, 2019
2432019
Reduced order modeling for nonlinear structural analysis using Gaussian process regression
M Guo, JS Hesthaven
Computer methods in applied mechanics and engineering 341, 807-826, 2018
2262018
Data-driven reduced order modeling for time-dependent problems
M Guo, JS Hesthaven
Computer methods in applied mechanics and engineering 345, 75-99, 2019
2202019
Fast prediction and evaluation of gravitational waveforms using surrogate models
SE Field, CR Galley, JS Hesthaven, J Kaye, M Tiglio
Physical Review X 4 (3), 031006, 2014
2142014
High-order nodal discontinuous Galerkin particle-in-cell method on unstructured grids
GB Jacobs, JS Hesthaven
Journal of Computational Physics 214 (1), 96-121, 2006
2122006
On the analysis and construction of perfectly matched layers for the linearized Euler equations
JS Hesthaven
Journal of computational Physics 142 (1), 129-147, 1998
2081998
Well-posed perfectly matched layers for advective acoustics
S Abarbanel, D Gottlieb, JS Hesthaven
Journal of Computational Physics 154 (2), 266-283, 1999
2031999
Application of implicit–explicit high order Runge–Kutta methods to discontinuous-Galerkin schemes
A Kanevsky, MH Carpenter, D Gottlieb, JS Hesthaven
Journal of Computational Physics 225 (2), 1753-1781, 2007
2002007
Local Discontinuous Galerkin methods for fractional diffusion equations∗∗∗
WH Deng, JS Hesthaven
ESAIM: Mathematical Modelling and Numerical Analysis 47 (6), 1845-1864, 2013
1892013
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