Brendan Keith

According to our database, Brendan Keith authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Robust Marking Policies for Adaptive Mesh Refinement.

Andrew Gillette, Brendan Keith, Socratis Petrides

SIAM J. Sci. Comput., February, 2024

Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization.

Tobias Duswald, Brendan Keith, Boyan Lazarov, Socratis Petrides, Barbara I. Wohlmuth

CoRR, 2024

High-performance finite elements with MFEM.

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 Lazarov, Ketan Mittal, Will Pazner, Socratis Petrides, Syun'ichi Shiraiwa, Mark Stowell, Vladimir Z. Tomov

CoRR, 2024

2023

An adaptive sampling augmented Lagrangian method for stochastic optimization with deterministic constraints.

Raghu Bollapragada, Cem Karamanli, Brendan Keith, Boyan Lazarov, Socratis Petrides, Jingyi Wang

Comput. Math. Appl., November, 2023

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws.

Tarik Dzanic, Ketan Mittal, Dohyun Kim, Jiachen Yang, Socratis Petrides, Brendan Keith, Robert W. Anderson

CoRR, 2023

Proximal Galerkin: A structure-preserving finite element method for pointwise bound constraints.

Brendan Keith, Thomas M. Surowiec

CoRR, 2023

Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement.

Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Risk-averse design of tall buildings for uncertain wind conditions.

Anoop Kodakkal, Brendan Keith, Ustim Khristenko, Andreas Apostolatos, Kai-Uwe Bletzinger, Barbara I. Wohlmuth, Roland Wüchner

CoRR, 2022

2021

Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer.

Brendan Keith, Ustim Khristenko, Barbara I. Wohlmuth

CoRR, 2021

Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements.

Brendan Keith, Akshay Khadse, Scott E. Field

CoRR, 2021

A priori error analysis of high-order LL* (FOSLL*) finite element methods.

Brendan Keith

Comput. Math. Appl., 2021

2020

The surrogate matrix methodology: Accelerating isogeometric analysis of waves.

Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth

CoRR, 2020

The DPG-star method.

Leszek F. Demkowicz, Jay Gopalakrishnan, Brendan Keith

Comput. Math. Appl., 2020

2019

The Surrogate Matrix Methodology: A Priori Error Estimation.

Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth

SIAM J. Sci. Comput., 2019

Goal-Oriented Adaptive Mesh Refinement for Discontinuous Petrov-Galerkin Methods.

Brendan Keith, Ali Vaziri Astaneh, Leszek F. Demkowicz

SIAM J. Numer. Anal., 2019

The surrogate matrix methodology: A reference implementation for low-cost assembly in isogeometric analysis.

Daniel Drzisga, Brendan Keith, Barbara I. Wohlmuth

CoRR, 2019

2017

Coupled variational formulations of linear elasticity and the DPG methodology.

Federico Fuentes, Brendan Keith, Leszek F. Demkowicz, Patrick Le Tallec

J. Comput. Phys., 2017

Goal-oriented adaptive mesh refinement for non-symmetric functional settings.

Brendan Keith, Ali Vaziri Astaneh, Leszek F. Demkowicz

CoRR, 2017

2015

Orientation embedded high order shape functions for the exact sequence elements of all shapes.

Federico Fuentes, Brendan Keith, Leszek F. Demkowicz, Sriram Nagaraj

Comput. Math. Appl., 2015