Research data from all areas of Bonn mathematics.
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1 to 10 of 425 Results
-1.empty_place_holder
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Unknown - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
.empty_place_holder
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Unknown - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
32ksamples_wave1.hdf
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Hierarchical Data Format - 2.7 GB - MD5: 7a47728cd5c9b5bd4c11c22296de0709
32ksamples_wave4.hdf
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Hierarchical Data Format - 2.7 GB - MD5: bbae899d988bb76a45329738dc8e2173
KL.hdf
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Hierarchical Data Format - 12.8 KB - MD5: 0ad8896667f0ef8e6187ddfc8a6420b4
KL.ipynb
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Jupyter Notebook - 2.5 KB - MD5: f9ee319b732de1b9182f7c08ab893de3
NN-L2-convergence.ipynb
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Jupyter Notebook - 5.9 KB - MD5: 867267d33849bb279b4c2a362794213b
NN-MSE-convergence.ipynb
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Jupyter Notebook - 4.9 KB - MD5: 5833022b7eab9a0ce60d9c05795eb830
NN-training.py
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Python Source Code - 11.5 KB - MD5: b85fba2962acc17c746fb6bcda3faa6c
POD-ranks.ipynb
Oct 24, 2025 - Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
Jupyter Notebook - 2.9 KB - MD5: 3a4d095c0af90b5eefd121b744665225
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