Matthew J. Zahr
Orcid: 0000-0003-4066-981X
According to our database1,
Matthew J. Zahr
authored at least 24 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A space-time high-order implicit shock tracking method for shock-dominated unsteady flows.
J. Comput. Phys., March, 2024
Preconditioned iterative solvers for constrained high-order implicit shock tracking methods.
CoRR, 2024
Symmetric, Optimization-based, Cross-element Compatible Nodal Distributions for High-order Finite Elements.
CoRR, 2024
2023
High-order implicit shock tracking boundary conditions for flows with parametrized shocks.
J. Comput. Phys., December, 2023
A globally convergent method to accelerate large-scale optimization using on-the-fly model hyperreduction: Application to shape optimization.
J. Comput. Phys., July, 2023
Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking.
J. Comput. Phys., 2023
CoRR, 2023
Accelerated solutions of convection-dominated partial differential equations using implicit feature tracking and empirical quadrature.
CoRR, 2023
An adaptive, training-free reduced-order model for convection-dominated problems based on hybrid snapshots.
CoRR, 2023
2022
J. Comput. Phys., 2022
A robust, high-order implicit shock tracking method for simulation of complex, high-speed flows.
J. Comput. Phys., 2022
Accurate quantification of blood flow wall shear stress using simulation-based imaging: a synthetic, comparative study.
Eng. Comput., 2022
2021
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems.
CoRR, 2021
2020
Implicit shock tracking using an optimization-based high-order discontinuous Galerkin method.
J. Comput. Phys., 2020
High-order partitioned spectral deferred correction solvers for multiphysics problems.
J. Comput. Phys., 2020
Preserving general physical properties in model reduction of dynamical systems via constrained-optimization projection.
CoRR, 2020
A globally convergent method to accelerate topology optimization using on-the-fly model reduction.
CoRR, 2020
2019
An Efficient, Globally Convergent Method for Optimization Under Uncertainty Using Adaptive Model Reduction and Sparse Grids.
SIAM/ASA J. Uncertain. Quantification, 2019
Implicit shock tracking using an optimization-based, r-adaptive, high-order discontinuous Galerkin method.
CoRR, 2019
Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning.
CoRR, 2019
2018
An optimization-based approach for high-order accurate discretization of conservation laws with discontinuous solutions.
J. Comput. Phys., 2018
2016
An adjoint method for a high-order discretization of deforming domain conservation laws for optimization of flow problems.
J. Comput. Phys., 2016
2015
Fast local reduced basis updates for the efficient reduction of nonlinear systems with hyper-reduction.
Adv. Comput. Math., 2015
2014
Progressive construction of a parametric reduced-order model for PDE-constrained optimization.
CoRR, 2014