https://github.com/oliversheridanmethven/pyarv

Python bindings of approximate random variables
https://github.com/oliversheridanmethven/pyarv

approximation c high-performance-computing monte-carlo numerical-analysis numerical-methods python random-number-generators

Last synced: 25 days ago
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Python bindings of approximate random variables

• Host: GitHub
• URL: https://github.com/oliversheridanmethven/pyarv
• Owner: oliversheridanmethven
• License: mit
• Created: 2024-09-03T10:01:50.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2025-05-11T13:46:48.000Z (9 months ago)
• Last Synced: 2025-10-27T18:28:43.253Z (4 months ago)
• Topics: approximation, c, high-performance-computing, monte-carlo, numerical-analysis, numerical-methods, python, random-number-generators
• Language: Python
• Homepage: https://oliversheridanmethven.github.io/pyarv/
• Size: 40.6 MB
• Stars: 11
• Watchers: 1
• Forks: 0
• Open Issues: 18
• Metadata Files:
  • Readme: README.md
  • Contributing: contributing/index.md
  • License: LICENSE.md

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README

          
# PyARV

Python wrapper of a C implementation of

approximate random variables as detailed in:

>Michael B. Giles and Oliver Sheridan-Methven. 

> _Approximating

inverse cumulative distribution functions to produce

approximate random variables._ 

> ACM Transactions

on Mathematical Software, 49(3), Article 26, September 2023, 29 pages. 

> [https://doi.org/10.1145/3604935](https://doi.org/10.1145/3604935)

For projects using this package, please cite the ACM TOMS paper. 

## Authors

Dr Oliver Sheridan-Methven  

[oliver.sheridan-methven@hotmail.co.uk](mailto:oliver.sheridan-methven@hotmail.co.uk)

## Documentation

The full documentation can be found here: [Documentation](https://oliversheridanmethven.github.io/pyarv/).