wedeling/Gram_Schmidt_Derivatives: Release with DAS article

Edeling, Wouter

doi:10.5281/zenodo.5734109

Contains a Python script to compute the derivatives of Gram Schmidt vectors, as well as a symbolic math Jupyter notebook to validate the expressions. The mathematical derivation of the derivative expressions can also be found.

Additional Metadata
Keywords	Gram Schmidt derivatives
Persistent URL	doi.org/10.5281/zenodo.5734109
Project	Verified Exascale Computing for Multiscale Applications
Rights	opensource.org/licenses/LGPL-2.1
Note	Part of the article: W.N. Edeling, "On the deep active subspace method".
Grant	This work was funded by the European Commission 7th Framework Programme; grant id h2020/800925 - Verified Exascale Computing for Multiscale Applications (VECMA)
Organisation	Scientific Computing
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Edeling, W. (2021). wedeling/Gram_Schmidt_Derivatives: Release with DAS article. doi:10.5281/zenodo.5734109

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