https://github.com/aldma/combinatorialintegralapproximations.jl

Solving binary approximation problems in Julia

https://github.com/aldma/combinatorialintegralapproximations.jl

Science Score: 39.0%

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  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Solving binary approximation problems in Julia

Basic Info
  • Host: GitHub
  • Owner: aldma
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Homepage:
  • Size: 32.2 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 2
  • Releases: 2
Created almost 2 years ago · Last pushed 11 months ago
Metadata Files
Readme License

README.md

CombinatorialIntegralApproximations.jl

Solving binary approximation problems in Julia

Build Status

This package provides modelling tools and solution algorithms for combinatorial approximation problems arising, for instance, in mixed-integer optimal control. Implemented algorithms include:

  • Sum-Up and Rounding (SUR)
  • Mixed-integer linear programming (MILP)

Check out the CIA paper for a theoretical background and the pycombina paper for an algorithmic overview.

Some algorithms rely on: - JuMP for modelling or reformulating problems, - HiGHS.jl for solving those problems numerically.

Install

Use ] to enter pkg> mode of Julia, then julia pkg> add CombinatorialIntegralApproximations

Documentation

Coming soon

Credits

CombinatorialIntegralApproximations.jl is a pure Julia implementation of the software package pycombina, developed in python (with the CombinaBnB solver written in C++).

Bug reports and discussions

Contributions are welcome in the form of issues notification or pull requests. We recommend looking at already implemented algorithms to get inspiration on how to structure new ones. If you think you found a bug, please open an issue. Focused suggestions and requests can also be opened as issues. Before opening a pull request, it is recommended to start an issue or a discussion on the topic.

Owner

  • Name: Alberto De Marchi
  • Login: aldma
  • Kind: user
  • Location: Europe

GitHub Events

Total
  • Issues event: 3
  • Issue comment event: 1
  • Push event: 3
  • Pull request event: 1
  • Create event: 1
Last Year
  • Issues event: 3
  • Issue comment event: 1
  • Push event: 3
  • Pull request event: 1
  • Create event: 1

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 17
  • Total Committers: 1
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 17
  • Committers: 1
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Alberto De Marchi a****i@g****m 17

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 6
  • Total pull requests: 1
  • Average time to close issues: 25 days
  • Average time to close pull requests: 4 minutes
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 2.33
  • Average comments per pull request: 2.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 1
  • Average time to close issues: 25 days
  • Average time to close pull requests: 4 minutes
  • Issue authors: 2
  • Pull request authors: 1
  • Average comments per issue: 2.33
  • Average comments per pull request: 2.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • aldma (5)
  • JuliaTagBot (1)
Pull Request Authors
  • aldma (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
juliahub.com: CombinatorialIntegralApproximations

Solving binary approximation problems in Julia

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 3.2%
Downloads: 5.5%
Average: 8.3%
Dependent packages count: 16.3%
Last synced: 10 months ago

Dependencies

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  • julia-actions/cache v2 composite
  • julia-actions/julia-buildpkg v1 composite
  • julia-actions/julia-runtest v1 composite
  • julia-actions/setup-julia v2 composite
.github/workflows/CompatHelper.yml actions
.github/workflows/TagBot.yml actions
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