Johannes Brust

Orcid: 0000-0002-3748-2440

According to our database1, Johannes Brust authored at least 18 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
An \({LDL}^{\textrm{T}}\) Trust-Region Quasi-Newton Method.
SIAM J. Sci. Comput., 2024

Shape-changing trust-region methods using multipoint symmetric secant matrices.
Optim. Methods Softw., 2024

Structured Sketching for Linear Systems.
CoRR, 2024

Useful Compact Representations for Data-Fitting.
CoRR, 2024

2023
PLSS: A Projected Linear Systems Solver.
SIAM J. Sci. Comput., April, 2023

An LDL<sup>T</sup> Trust-Region Quasi-Newton Method.
CoRR, 2023

2022
Algorithm 1030: SC-SR1: MATLAB Software for Limited-memory SR1 Trust-region Methods.
ACM Trans. Math. Softw., December, 2022

Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation.
SIAM J. Sci. Comput., 2022

A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations.
CoRR, 2022

A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations.
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.
CoRR, 2021

Convergence Analysis of Fixed Point Chance Constrained Optimal Power Flow Problems.
CoRR, 2021

Compact representations of structured BFGS matrices.
Comput. Optim. Appl., 2021

Automated byproduct segmentation in grain images.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

2020
Computationally Efficient Decompositions of Oblique Projection Matrices.
SIAM J. Matrix Anal. Appl., 2020

2019
Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints.
Comput. Optim. Appl., 2019

A dense initialization for limited-memory quasi-Newton methods.
Comput. Optim. Appl., 2019

2017
On solving L-SR1 trust-region subproblems.
Comput. Optim. Appl., 2017


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