https://github.com/comnetshh/lre

Standalone implementation of the Limited Relative Error algorithm including a Python wrapper
https://github.com/comnetshh/lre

algorithm probability simulation

Last synced: about 21 hours ago
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Standalone implementation of the Limited Relative Error algorithm including a Python wrapper

• Host: GitHub
• URL: https://github.com/comnetshh/lre
• Owner: ComNetsHH
• License: lgpl-2.1
• Created: 2017-08-31T12:48:22.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2020-05-20T12:35:56.000Z (almost 6 years ago)
• Last Synced: 2026-04-11T03:55:30.949Z (about 21 hours ago)
• Topics: algorithm, probability, simulation
• Language: C++
• Size: 891 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# LRE

Standalone implementation of the Limited Relative Error algorithm, including a Python wrapper.

[![DOI](https://zenodo.org/badge/102000011.svg)](https://zenodo.org/badge/latestdoi/102000011)

## Compilation & Verification

Install dependencies (most Debian-based systems)

    sudo apt-get install build-essential libboost-program-options-dev libboost-python-dev python-dev libpython2.7

Compile both, binary and library

    make LRE // For python v2.7

    make LRE3.5 // For python v3.5

    make LRE3.6 // For python v3.6

Running this should show some output

    python LRE_Test.py

Which should look exactly like the output of

    ./LRE --file input.txt --xMin 0 --xMax 500