Manuel Bastian Berkemeier

manuelbb@mail.uni-paderborn.de
ID
51701

3 Publications

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[3]
2023 | Preprint | LibreCat-ID: 46649 | OA
Hotegni, S. S., Peitz, S., & Berkemeier, M. B. (2023). Multi-Objective Optimization for Sparse Deep Neural Network Training. In arXiv:2308.12243.
LibreCat | Download (ext.) | arXiv
 
[2]
2022 | Preprint | LibreCat-ID: 33150 | OA
Berkemeier, M. B., & Peitz, S. (2022). Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. In arXiv:2208.12094.
LibreCat | Download (ext.) | arXiv
 
[1]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Berkemeier, M. B., & Peitz, S. (2021). Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models. Mathematical and Computational Applications, 26(2). https://doi.org/10.3390/mca26020031
LibreCat | DOI | Download (ext.)
 
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3 Publications

Mark all

[3]
2023 | Preprint | LibreCat-ID: 46649 | OA
Hotegni, S. S., Peitz, S., & Berkemeier, M. B. (2023). Multi-Objective Optimization for Sparse Deep Neural Network Training. In arXiv:2308.12243.
LibreCat | Download (ext.) | arXiv
 
[2]
2022 | Preprint | LibreCat-ID: 33150 | OA
Berkemeier, M. B., & Peitz, S. (2022). Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. In arXiv:2208.12094.
LibreCat | Download (ext.) | arXiv
 
[1]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Berkemeier, M. B., & Peitz, S. (2021). Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models. Mathematical and Computational Applications, 26(2). https://doi.org/10.3390/mca26020031
LibreCat | DOI | Download (ext.)
 
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