Johannes Brust

According to our database, Johannes Brust authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Useful Compact Representations for Data-Fitting.

Johannes J. Brust

CoRR, 2024

2023

PLSS: A Projected Linear Systems Solver.

Johannes J. Brust, Michael A. Saunders

SIAM J. Sci. Comput., April, 2023

An LDL^T Trust-Region Quasi-Newton Method.

Johannes J. Brust, Philip E. Gill

CoRR, 2023

2022

Algorithm 1030: SC-SR1: MATLAB Software for Limited-memory SR1 Trust-region Methods.

Johannes Brust, Oleg Burdakov, Jennifer B. Erway, Roummel F. Marcia

ACM Trans. Math. Softw., December, 2022

Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation.

Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders

SIAM J. Sci. Comput., 2022

A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations.

Alexander Fabisch, Melvin Laux, Dennis Marschner, Johannes Brust

CoRR, 2022

A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations.

Alexander Fabisch, Manuela Uliano, Dennis Marschner, Melvin Laux, Johannes Brust, Marco Controzzi

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021

Nonlinear Least Squares for Large-Scale Machine Learning using Stochastic Jacobian Estimates.

Johannes J. Brust

CoRR, 2021

Convergence Analysis of Fixed Point Chance Constrained Optimal Power Flow Problems.

Johannes J. Brust, Mihai Anitescu

CoRR, 2021

Compact representations of structured BFGS matrices.

Johannes J. Brust, Zichao (Wendy) Di, Sven Leyffer, Cosmin G. Petra

Comput. Optim. Appl., 2021

Automated byproduct segmentation in grain images.

Johannes Brust, Joachim Hertzberg

Proceedings of the Fourteenth International Conference on Machine Vision, 2021

2020

Computationally Efficient Decompositions of Oblique Projection Matrices.

Johannes Brust, Roummel F. Marcia, Cosmin G. Petra

SIAM J. Matrix Anal. Appl., 2020

2019

Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints.

Johannes Brust, Roummel F. Marcia, Cosmin G. Petra

Comput. Optim. Appl., 2019

A dense initialization for limited-memory quasi-Newton methods.

Johannes Brust, Oleg Burdakov, Jennifer B. Erway, Roummel F. Marcia

Comput. Optim. Appl., 2019

2017

On solving L-SR1 trust-region subproblems.

Johannes Brust, Jennifer B. Erway, Roummel F. Marcia

Comput. Optim. Appl., 2017