UM-Bridge: Uncertainty quantification and modeling bridge

R Python PowerShell Submitted 22 July 2022Published 18 March 2023
Review

Editor: @pdebuyl (all papers)
Reviewers: @georgiastuart (all reviews), @Himscipy (all reviews)

Authors

Linus Seelinger (0000-0001-8632-8493), Vivian Cheng-Seelinger, Andrew Davis (0000-0002-6023-0989), Matthew Parno (0000-0002-9419-2693), Anne Reinarz (0000-0003-1787-7637)

Citation

Seelinger et al., (2023). UM-Bridge: Uncertainty quantification and modeling bridge. Journal of Open Source Software, 8(83), 4748, https://doi.org/10.21105/joss.04748

@article{Seelinger2023, doi = {10.21105/joss.04748}, url = {https://doi.org/10.21105/joss.04748}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {83}, pages = {4748}, author = {Linus Seelinger and Vivian Cheng-Seelinger and Andrew Davis and Matthew Parno and Anne Reinarz}, title = {UM-Bridge: Uncertainty quantification and modeling bridge}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

C++

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

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