Some of the data underlying the publication "Fighting the curse of dimensionality: A machine learning approach to finding global optima"

DOI:10.4121/17111648.v1
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DOI: 10.4121/17111648

Datacite citation style

Julian Schumann (2021): Some of the data underlying the publication "Fighting the curse of dimensionality: A machine learning approach to finding global optima". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/17111648.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

889
views
319
downloads

Licence

CC BY 4.0

Interoperability

The data assembled here should allow the reproduction of the Figures 4 and 6 from the mentioned paper. The corresponding code can be found at https://github.com/julianschumann/ae-opt.

History

  • 2021-12-03 first online, published, posted

Publisher

4TU.ResearchData

Format

.h5 .npy

Organizations

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE)

DATA

Files (2)