Shukai Du

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2023 J jnl
Combining finite element space-discretizations with symplectic time-marching schemes for linear Hamiltonian systems.
Frontiers Appl. Math. Stat.
Bernardo Cockburn, Shukai Du, Manuel A. Sánchez
2023 J jnl
Element learning: a systematic approach of accelerating finite element-type methods via machine learning, with applications to radiative transfer.
CoRR
Shukai Du, Samuel N. Stechmann
2023 J jnl
Fast, low-memory numerical methods for radiative transfer via
J. Comput. Phys.
Shukai Du, Samuel N. Stechmann
2022 J jnl
Discontinuous Galerkin Methods with Time-Operators in Their Numerical Traces for Time-Dependent Electromagnetics.
Comput. Methods Appl. Math.
Bernardo Cockburn, Shukai Du, Manuel A. Sánchez
2021 J jnl
A note on devising HDG+ projections on polyhedral elements.
Math. Comput.
Shukai Du, Francisco-Javier Sayas
2020 J jnl
A Factorization of Least-Squares Projection Schemes for Ill-Posed Problems.
Comput. Methods Appl. Math.
Shukai Du, Nailin Du
2020 J jnl
A Unified Error Analysis of Hybridizable Discontinuous Galerkin Methods for the Static Maxwell Equations.
SIAM J. Numer. Anal.
Shukai Du, Francisco-Javier Sayas
2020 J jnl
A note on devising HDG+ projections on polyhedral elements.
CoRR
Shukai Du, Francisco-Javier Sayas
2020 J jnl
HDG Methods for Stokes Equation Based on Strong Symmetric Stress Formulations.
J. Sci. Comput.
Shukai Du
2020 J jnl
New analytical tools for HDG in elasticity, with applications to elastodynamics.
Math. Comput.
Shukai Du, Francisco-Javier Sayas
2019 J jnl
A unified error analysis of HDG methods for the static Maxwell equations.
CoRR
Shukai Du, Francisco-Javier Sayas