torchquad: Numerical Integration in Arbitrary Dimensions with PyTorch

Python Submitted 15 June 2021Published 31 August 2021
Review

Editor: @jbytecode (all papers)
Reviewers: @felipefr (all reviews), @scarlehoff (all reviews)

Authors

Pablo Gómez (0000-0002-5631-8240), Håvard Hem Toftevaag (0000-0003-4692-5722), Gabriele Meoni (0000-0001-9311-6392)

Citation

Gómez et al., (2021). torchquad: Numerical Integration in Arbitrary Dimensions with PyTorch. Journal of Open Source Software, 6(64), 3439, https://doi.org/10.21105/joss.03439

Copy citation string · Copy BibTeX  
Tags

n-dimensional numerical integration GPU automatic differentiation PyTorch high-performance computing machine learning

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066