3 Publications

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[3]
2023 | Preprint | LibreCat-ID: 46649 | OA
Hotegni SS, Peitz S, Berkemeier MB. Multi-Objective Optimization for Sparse Deep Neural Network Training. arXiv:230812243. Published online 2023.
LibreCat | Download (ext.) | arXiv
 
[2]
2022 | Preprint | LibreCat-ID: 33150 | OA
Berkemeier MB, Peitz S. Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. arXiv:220812094. Published online 2022.
LibreCat | Download (ext.) | arXiv
 
[1]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Berkemeier MB, Peitz S. Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models. Mathematical and Computational Applications. 2021;26(2). doi:10.3390/mca26020031
LibreCat | DOI | Download (ext.)
 

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3 Publications

Mark all

[3]
2023 | Preprint | LibreCat-ID: 46649 | OA
Hotegni SS, Peitz S, Berkemeier MB. Multi-Objective Optimization for Sparse Deep Neural Network Training. arXiv:230812243. Published online 2023.
LibreCat | Download (ext.) | arXiv
 
[2]
2022 | Preprint | LibreCat-ID: 33150 | OA
Berkemeier MB, Peitz S. Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. arXiv:220812094. Published online 2022.
LibreCat | Download (ext.) | arXiv
 
[1]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Berkemeier MB, Peitz S. Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models. Mathematical and Computational Applications. 2021;26(2). doi:10.3390/mca26020031
LibreCat | DOI | Download (ext.)
 

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Citation Style: AMA

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