Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering (doi:10.60507/FK2/OJUHWY)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering

Identification Number:

doi:10.60507/FK2/OJUHWY

Distributor:

bonndata

Date of Distribution:

2025-10-24

Version:

1

Bibliographic Citation:

Dölz, 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, V1

Study Description

Citation

Title:

Replication Data for: Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering

Identification Number:

doi:10.60507/FK2/OJUHWY

Authoring Entity:

Dölz, Jürgen (University of Bonn)

Henríquez, Fernando (TU Vienna)

Distributor:

bonndata

Access Authority:

Dölz, Jürgen

Depositor:

Dölz, Jürgen

Date of Deposit:

2025-10-23

Holdings Information:

https://doi.org/10.60507/FK2/OJUHWY

Study Scope

Keywords:

Mathematical Sciences

Abstract:

Dataset 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

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="https://opensource.org/license/gpl-3-0/">GPLv3</a>

Other Study Description Materials

Other Study-Related Materials

Label:

KL.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

NN-L2-convergence.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

NN-MSE-convergence.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

NN-training.py

Notes:

text/x-python

Other Study-Related Materials

Label:

POD-ranks.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

README

Notes:

text/plain; charset=UTF-8

Other Study-Related Materials

Label:

runit.sh

Notes:

application/x-shellscript

Other Study-Related Materials

Label:

.empty_place_holder

Notes:

application/octet-stream

Other Study-Related Materials

Label:

32ksamples_wave1.hdf

Notes:

application/x-hdf

Other Study-Related Materials

Label:

32ksamples_wave4.hdf

Notes:

application/x-hdf

Other Study-Related Materials

Label:

KL.hdf

Notes:

application/x-hdf

Other Study-Related Materials

Label:

-1.empty_place_holder

Notes:

application/octet-stream