Zhu Wang
Orcid: 0000-0002-7821-8574Affiliations:
- University of South Carolina, Department of Mathematics, Columbia, SC, USA
According to our database1,
Zhu Wang
authored at least 48 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators.
J. Comput. Phys., January, 2024
Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure.
CoRR, 2024
2023
Level Set Learning with Pseudoreversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation.
SIAM J. Sci. Comput., June, 2023
J. Sci. Comput., 2023
2022
J. Sci. Comput., 2022
An Efficient Iterative Method for Solving Parameter-Dependent and Random Convection-Diffusion Problems.
J. Sci. Comput., 2022
High-order multirate explicit time-stepping schemes for the baroclinic-barotropic split dynamics in primitive equations.
J. Comput. Phys., 2022
J. Comput. Phys., 2022
A ROM-accelerated parallel-in-time preconditioner for solving all-at-once systems in unsteady convection-diffusion PDEs.
Appl. Math. Comput., 2022
Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver.
Proceedings of the Mathematical and Scientific Machine Learning, 2022
2021
J. Sci. Comput., 2021
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation.
CoRR, 2021
CoRR, 2021
Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems.
CoRR, 2021
CoRR, 2021
An efficient iterative method for solving parameter-dependent and random diffusion problems.
CoRR, 2021
Learning Green's Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver.
CoRR, 2021
Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations.
CoRR, 2021
Structure-Preserving Galerkin POD-DEIM Reduced-Order Modeling of Hamiltonian Systems.
CoRR, 2021
2020
Math. Comput., 2020
Nonoverlapping Localized Exponential Time Differencing Methods for Diffusion Problems.
J. Sci. Comput., 2020
A ROM-accelerated parallel-in-time preconditioner for solving all-at-once systems from evolutionary PDEs.
CoRR, 2020
2019
SIAM J. Sci. Comput., 2019
J. Comput. Phys., 2019
Non-commutative discretize-then-optimize algorithms for elliptic PDE-constrained optimal control problems.
J. Comput. Appl. Math., 2019
A Second-Order Time-Stepping Scheme for Simulating Ensembles of Parameterized Flow Problems.
Comput. Methods Appl. Math., 2019
2018
An Ensemble Algorithm for Numerical Solutions to Deterministic and Random Parabolic PDEs.
SIAM J. Numer. Anal., 2018
POD/DEIM Reduced-Order Modeling of Time-Fractional Partial Differential Equations with Applications in Parameter Identification.
J. Sci. Comput., 2018
Efficient time domain decomposition algorithms for parabolic PDE-constrained optimization problems.
Comput. Math. Appl., 2018
Comput. Math. Appl., 2018
2017
J. Sci. Comput., 2017
2016
SIAM J. Appl. Math., 2016
Comput. Math. Appl., 2016
2014
SIAM J. Sci. Comput., 2014
2013
Variational multiscale proper orthogonal decomposition: Convection-dominated convection-diffusion-reaction equations.
Math. Comput., 2013
2012
Non-iterative domain decomposition methods for a non-stationary Stokes-Darcy model with Beavers-Joseph interface condition.
Appl. Math. Comput., 2012
2011
Two-level discretizations of nonlinear closure models for proper orthogonal decomposition.
J. Comput. Phys., 2011
2009
Extrapolation Algorithms for Solving Mixed Boundary Integral Equations of the Helmholtz Equation by Mechanical Quadrature Methods.
SIAM J. Sci. Comput., 2009
2006
Appl. Math. Comput., 2006