Numerics: A .NET Library for Numerical Computing, Statistical Analysis, and Risk Assessment

C# Submitted 06 April 2026 • Published 24 June 2026
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Authors

C. Haden Smith (0000-0002-4651-9890), Woodrow L. Fields (0009-0008-7454-5552), Julian Gonzalez (0009-0009-9058-7653), Sadie Niblett (0009-0008-8588-4816), Brennan Beam (0009-0003-0515-3727), Brian Skahill (0000-0002-2164-0301)

Citation

Smith et al., (2026). Numerics: A .NET Library for Numerical Computing, Statistical Analysis, and Risk Assessment. Journal of Open Source Software, 11(122), 10540, https://doi.org/10.21105/joss.10540

@article{Smith2026, doi = {10.21105/joss.10540}, url = {https://doi.org/10.21105/joss.10540}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {122}, pages = {10540}, author = {Smith, C. Haden and Fields, Woodrow L. and Gonzalez, Julian and Niblett, Sadie and Beam, Brennan and Skahill, Brian}, title = {Numerics: A .NET Library for Numerical Computing, Statistical Analysis, and Risk Assessment}, journal = {Journal of Open Source Software} }
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.NET numerical methods statistics probability distributions Bayesian inference machine learning optimization

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Authors of JOSS papers retain copyright.

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

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066