Jingwei Hu
Jingwei Hu
Associate Professor of Applied Mathematics, University of Washington
Verified email at - Homepage
Cited by
Cited by
Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization
Y Chen, S Fomel, J Hu
Geophysics 79 (5), V179-V189, 2014
-compensated least-squares reverse time migration using low-rank one-step wave extrapolation
J Sun, S Fomel, T Zhu, J Hu
Geophysics 81 (4), S271-S279, 2016
A stochastic Galerkin method for the Boltzmann equation with uncertainty
J Hu, S Jin
Journal of Computational Physics 315, 150-168, 2016
A fast spectral method for the Boltzmann collision operator with general collision kernels
IM Gamba, JR Haack, CD Hauck, J Hu
SIAM Journal on Scientific Computing 39 (4), B658-B674, 2017
Asymptotic-preserving schemes for multiscale hyperbolic and kinetic equations
J Hu, S Jin, Q Li
Handbook of Numerical Analysis 18, 103-129, 2017
A numerical scheme for the quantum Boltzmann equation with stiff collision terms⋆
F Filbet, J Hu, S Jin
ESAIM: Mathematical Modelling and Numerical Analysis 46 (2), 443-463, 2012
Lowrank seismic-wave extrapolation on a staggered grid
G Fang, S Fomel, Q Du, J Hu
Geophysics 79 (3), T157-T168, 2014
Asymptotic-preserving and positivity-preserving implicit-explicit schemes for the stiff BGK equation
J Hu, R Shu, X Zhang
SIAM Journal on Numerical Analysis 56 (2), 942-973, 2018
Uncertainty quantification for kinetic equations
J Hu, S Jin
Uncertainty quantification for hyperbolic and kinetic equations, 193-229, 2017
A fast butterfly algorithm for generalized Radon transforms
J Hu, S Fomel, L Demanet, L Ying
Geophysics 78 (4), U41-U51, 2013
A stochastic Galerkin method for the Boltzmann equation with multi-dimensional random inputs using sparse wavelet bases
R Shu, J Hu, S Jin
Numerical Mathematics: Theory, Methods and Applications 10 (2), 465-488, 2017
A discontinuous Galerkin fast spectral method for the full Boltzmann equation with general collision kernels
S Jaiswal, AA Alexeenko, J Hu
Journal of Computational Physics 378, 178-208, 2019
A fully discrete positivity-preserving and energy-dissipative finite difference scheme for Poisson–Nernst–Planck equations
J Hu, X Huang
Numerische Mathematik 145 (1), 77-115, 2020
An asymptotic-preserving dynamical low-rank method for the multi-scale multi-dimensional linear transport equation
L Einkemmer, J Hu, Y Wang
Journal of Computational Physics 439, 110353, 2021
Fully discrete positivity-preserving and energy-dissipating schemes for aggregation-diffusion equations with a gradient flow structure
R Bailo, JA Carrillo, J Hu
arXiv preprint arXiv:1811.11502, 2018
A fast spectral algorithm for the quantum Boltzmann collision operator
J Hu, L Ying
Communications in Mathematical Sciences 10 (3), 989-999, 2012
A Stochastic Galerkin Method for Hamilton--Jacobi Equations with Uncertainty
J Hu, S Jin, D Xiu
SIAM Journal on Scientific Computing 37 (5), A2246-A2269, 2015
An efficient dynamical low-rank algorithm for the Boltzmann-BGK equation close to the compressible viscous flow regime
L Einkemmer, J Hu, L Ying
SIAM Journal on Scientific Computing 43 (5), B1057-B1080, 2021
A particle method for the homogeneous Landau equation
JA Carrillo, J Hu, L Wang, J Wu
Journal of Computational Physics: X 7, 100066, 2020
On kinetic flux vector splitting schemes for quantum Euler equations
J Hu, S Jin
Kinet. Relat. Models 4 (2), 517-530, 2011
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