parafields: A generator for distributed, stationary Gaussian processes

Python C++ Jupyter Notebook Submitted 03 July 2023Published 18 December 2023
Review

Editor: @diehlpk (all papers)
Reviewers: @shahmoradi (all reviews), @gchure (all reviews)

Authors

Dominic Kempf (0000-0002-6140-2332), Ole Klein (0000-0002-3295-7347), Robert Kutri (0009-0004-8123-4673), Robert Scheichl (0000-0001-8493-4393), Peter Bastian

Citation

Kempf et al., (2023). parafields: A generator for distributed, stationary Gaussian processes. Journal of Open Source Software, 8(92), 5735, https://doi.org/10.21105/joss.05735

@article{Kempf2023, doi = {10.21105/joss.05735}, url = {https://doi.org/10.21105/joss.05735}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {92}, pages = {5735}, author = {Dominic Kempf and Ole Klein and Robert Kutri and Robert Scheichl and Peter Bastian}, title = {parafields: A generator for distributed, stationary Gaussian processes}, journal = {Journal of Open Source Software} }
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MPI scientific computing high performance computing uncertainty quantification random field generation circulant embedding

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