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

@article{Gómez2021, doi = {10.21105/joss.03439}, url = {https://doi.org/10.21105/joss.03439}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {64}, pages = {3439}, author = {Pablo Gómez and Håvard Hem Toftevaag and Gabriele Meoni}, title = {torchquad: Numerical Integration in Arbitrary Dimensions with PyTorch}, journal = {Journal of Open Source Software} }
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n-dimensional numerical integration GPU automatic differentiation PyTorch high-performance computing machine learning

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