Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scatteringdoi:10.60507/FK2/OJUHWYbonndata2025-10-241Dölz, Jürgen; Henríquez, Fernando, 2025, "Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering", https://doi.org/10.60507/FK2/OJUHWY, bonndata, V1Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scatteringdoi:10.60507/FK2/OJUHWYDölz, JürgenHenríquez, FernandobonndataDölz, JürgenDölz, Jürgen2025-10-23Mathematical SciencesDataset and code to replicate data from Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering. 2025. Authors: J. Dölz, F. Henríquez Submitted to SIAM Journal on Scientific Computing Arxiv: https://arxiv.org/abs/2502.01859<a href="https://opensource.org/license/gpl-3-0/">GPLv3</a>KL.ipynbapplication/x-ipynb+jsonNN-L2-convergence.ipynbapplication/x-ipynb+jsonNN-MSE-convergence.ipynbapplication/x-ipynb+jsonNN-training.pytext/x-pythonPOD-ranks.ipynbapplication/x-ipynb+jsonREADMEtext/plain; charset=UTF-8runit.shapplication/x-shellscript.empty_place_holderapplication/octet-stream32ksamples_wave1.hdfapplication/x-hdf32ksamples_wave4.hdfapplication/x-hdfKL.hdfapplication/x-hdf-1.empty_place_holderapplication/octet-stream