Brendan Keith

34 papers A 1Journal 33
YearRankTypeTitle / Venue / Authors
2026 J jnl
Proximal Galerkin: A Structure-Preserving Finite Element Method for Pointwise Bound Constraints.
Found. Comput. Math.
Brendan Keith, Thomas M. Surowiec
2026 J jnl
The proximal Galerkin method for non-symmetric variational inequalities.
CoRR
Guosheng Fu, Brendan Keith, Dohyun Kim, Rami Masri, Will Pazner
2025 J jnl
A priori error analysis of the proximal Galerkin method.
CoRR
Brendan Keith, Rami Masri, Marius Zeinhofer
2025 J jnl
Analysis of the SiMPL Method for Density-Based Topology Optimization.
SIAM J. Optim.
Brendan Keith, Dohyun Kim, Boyan S. Lazarov, Thomas M. Surowiec
2025 J jnl
Learning thermodynamic master equations for open quantum systems.
CoRR
Peter Sentz, Stanley Nicholson, Yujin Cho, Sohail Reddy, Brendan Keith, Stefanie Günther
2025 J jnl
The latent variable proximal point algorithm for variational problems with inequality constraints.
CoRR
Jørgen S. Dokken, Patrick E. Farrell, Brendan Keith, Ioannis P. A. Papadopoulos, Thomas M. Surowiec
2024 J jnl
A Simple Introduction to the SiMPL Method for Density-Based Topology Optimization.
CoRR
Dohyun Kim, Boyan S. Lazarov, Thomas M. Surowiec, Brendan Keith
2024 J jnl
A locally-conservative proximal Galerkin method for pointwise bound constraints.
CoRR
Guosheng Fu, Brendan Keith, Rami Masri
2024 J jnl
Analysis of the SiMPL method for density-based topology optimization.
CoRR
Brendan Keith, Dohyun Kim, Boyan S. Lazarov, Thomas M. Surowiec
2024 J jnl
DRDMannTurb: A Python package for scalable, data-driven synthetic turbulence.
J. Open Source Softw.
Alexey Izmailov, Matthew Meeker, Georgios Deskos, Brendan Keith
2024 J jnl
DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws.
J. Comput. Phys.
Tarik Dzanic, Ketan Mittal, Dohyun Kim, J. Yang, Socratis Petrides, Brendan Keith, Robert W. Anderson
2024 J jnl
Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization.
CoRR
Tobias Duswald, Brendan Keith, Boyan S. Lazarov, Socratis Petrides, Barbara I. Wohlmuth
2024 J jnl
High-performance finite elements with MFEM.
CoRR
Julian Andrej, Nabil M. Atallah, Jan-Phillip Bäcker, John Camier, Dylan Copeland, Veselin Dobrev, Yohann Dudouit, Tobias Duswald, Brendan Keith, Dohyun Kim, Tzanio V. Kolev, Boyan S. Lazarov, Ketan Mittal, Will Pazner, Socratis Petrides, Syun'ichi Shiraiwa, Mark Stowell, Vladimir Z. Tomov
2024 J jnl
Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method.
CoRR
Hilarie Sit, Brendan Keith, Karianne Bergen
2024 J jnl
Learning Robust Marking Policies for Adaptive Mesh Refinement.
SIAM J. Sci. Comput.
Andrew Gillette, Brendan Keith, Socratis Petrides
2023 J jnl
An adaptive sampling augmented Lagrangian method for stochastic optimization with deterministic constraints.
Comput. Math. Appl.
Raghu Bollapragada, Cem Karamanli, Brendan Keith, Boyan S. Lazarov, Socratis Petrides, Jingyi Wang
2023 J jnl
DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws.
CoRR
Tarik Dzanic, Ketan Mittal, Dohyun Kim, Jiachen Yang, Socratis Petrides, Brendan Keith, Robert W. Anderson
2023 A conf
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement.
AAMAS
Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson
2023 J jnl
Proximal Galerkin: A structure-preserving finite element method for pointwise bound constraints.
CoRR
Brendan Keith, Thomas M. Surowiec
2022 J jnl
Learning robust marking policies for adaptive mesh refinement.
CoRR
Andrew Gillette, Brendan Keith, Socratis Petrides
2022 J jnl
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement.
CoRR
Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson
2022 J jnl
Risk-averse design of tall buildings for uncertain wind conditions.
CoRR
Anoop Kodakkal, Brendan Keith, Ustim Khristenko, Andreas Apostolatos, Kai-Uwe Bletzinger, Barbara I. Wohlmuth, Roland Wüchner
2021 J jnl
A priori error analysis of high-order LL* (FOSLL*) finite element methods.
Comput. Math. Appl.
Brendan Keith
2021 J jnl
Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer.
CoRR
Brendan Keith, Ustim Khristenko, Barbara I. Wohlmuth
2021 J jnl
Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements.
CoRR
Brendan Keith, Akshay Khadse, Scott E. Field
2020 J jnl
A priori error analysis of high-order LL* (FOSLL*) finite element methods.
CoRR
Brendan Keith
2020 J jnl
The DPG-star method.
Comput. Math. Appl.
Leszek F. Demkowicz, Jay Gopalakrishnan, Brendan Keith
2020 J jnl
The surrogate matrix methodology: Accelerating isogeometric analysis of waves.
CoRR
Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth
2019 J jnl
Goal-Oriented Adaptive Mesh Refinement for Discontinuous Petrov-Galerkin Methods.
SIAM J. Numer. Anal.
Brendan Keith, Ali Vaziri Astaneh, Leszek F. Demkowicz
2019 J jnl
The Surrogate Matrix Methodology: A Priori Error Estimation.
SIAM J. Sci. Comput.
Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth
2019 J jnl
The surrogate matrix methodology: A reference implementation for low-cost assembly in isogeometric analysis.
CoRR
Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth
2017 J jnl
Coupled variational formulations of linear elasticity and the DPG methodology.
J. Comput. Phys.
Federico Fuentes, Brendan Keith, Leszek F. Demkowicz, Patrick Le Tallec
2017 J jnl
Goal-oriented adaptive mesh refinement for non-symmetric functional settings.
CoRR
Brendan Keith, Ali Vaziri Astaneh, Leszek F. Demkowicz
2015 J jnl
Orientation embedded high order shape functions for the exact sequence elements of all shapes.
Comput. Math. Appl.
Federico Fuentes, Brendan Keith, Leszek F. Demkowicz, Sriram Nagaraj