Brendan Keith

Orcid: 0000-0002-6969-6857

According to our database1, Brendan Keith authored at least 23 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Robust Marking Policies for Adaptive Mesh Refinement.
SIAM J. Sci. Comput., February, 2024

DRDMannTurb: A Python package for scalable, data-driven synthetic turbulence.
J. Open Source Softw., 2024

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws.
J. Comput. Phys., 2024

Analysis of the SiMPL method for density-based topology optimization.
CoRR, 2024

Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method.
CoRR, 2024

Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization.
CoRR, 2024

High-performance finite elements with MFEM.
CoRR, 2024

2023
An adaptive sampling augmented Lagrangian method for stochastic optimization with deterministic constraints.
Comput. Math. Appl., November, 2023

DynAMO: Multi-agent reinforcement learning for dynamic anticipatory mesh optimization with applications to hyperbolic conservation laws.
CoRR, 2023

Proximal Galerkin: A structure-preserving finite element method for pointwise bound constraints.
CoRR, 2023

Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Risk-averse design of tall buildings for uncertain wind conditions.
CoRR, 2022

2021
Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer.
CoRR, 2021

Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements.
CoRR, 2021

A priori error analysis of high-order LL* (FOSLL*) finite element methods.
Comput. Math. Appl., 2021

2020
The surrogate matrix methodology: Accelerating isogeometric analysis of waves.
CoRR, 2020

The DPG-star method.
Comput. Math. Appl., 2020

2019
The Surrogate Matrix Methodology: A Priori Error Estimation.
SIAM J. Sci. Comput., 2019

Goal-Oriented Adaptive Mesh Refinement for Discontinuous Petrov-Galerkin Methods.
SIAM J. Numer. Anal., 2019

The surrogate matrix methodology: A reference implementation for low-cost assembly in isogeometric analysis.
CoRR, 2019

2017
Coupled variational formulations of linear elasticity and the DPG methodology.
J. Comput. Phys., 2017

Goal-oriented adaptive mesh refinement for non-symmetric functional settings.
CoRR, 2017

2015
Orientation embedded high order shape functions for the exact sequence elements of all shapes.
Comput. Math. Appl., 2015


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