Johannes J. Brust | DeepAI

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Mihai Anitescu
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Michael A. Saunders
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Cosmin G. Petra
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Roummel F. Marcia
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Zichao
1 publication

∙ 07/29/2022

Compact representations of structured BFGS matrices

For general large-scale optimization problems compact representations ex...

0 Johannes J. Brust, et al. ∙

∙ 07/15/2022

PLSS: A Projected Linear Systems Solver

We propose iterative projection methods for solving square or rectangula...

0 Johannes J. Brust, et al. ∙

∙ 07/12/2021

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

For large nonlinear least squares loss functions in machine learning we ...

0 Johannes J. Brust, et al. ∙

∙ 01/27/2021

Convergence Analysis of Fixed Point Chance Constrained Optimal Power Flow Problems

For optimal power flow problems with chance constraints, a particularly ...

0 Johannes J. Brust, et al. ∙

∙ 01/26/2021

Large-scale Optimization with Linear Equality Constraints using Reduced Compact Representation

For optimization problems with sparse linear equality constraints, we ob...

0 Johannes J. Brust, et al. ∙

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