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ProximalAlgorithms

Proximal algorithms for nonsmooth optimization in Julia

https://github.com/juliafirstorder/proximalalgorithms.jl

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
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    Committers with academic emails
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.9%) to scientific vocabulary

Keywords

admm julia machine-learning nonlinear-programming nonsmooth-optimization numerical-optimization optimal-control optimization optimization-algorithms proximal-algorithms proximal-gradient-method proximal-operators

Keywords from Contributors

polytope pdes convex-optimization nonlinear-optimization
Last synced: 6 months ago · JSON representation ·

Repository

Proximal algorithms for nonsmooth optimization in Julia

Basic Info
  • Host: GitHub
  • Owner: JuliaFirstOrder
  • License: other
  • Language: Julia
  • Default Branch: master
  • Homepage:
  • Size: 6.04 MB
Statistics
  • Stars: 134
  • Watchers: 9
  • Forks: 24
  • Open Issues: 8
  • Releases: 16
Topics
admm julia machine-learning nonlinear-programming nonsmooth-optimization numerical-optimization optimal-control optimization optimization-algorithms proximal-algorithms proximal-gradient-method proximal-operators
Created over 8 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

ProximalAlgorithms.jl

Build status Aqua QA

A Julia package for non-smooth optimization algorithms.

This package provides algorithms for the minimization of objective functions that include non-smooth terms, such as constraints or non-differentiable penalties. Implemented algorithms include: - (Fast) Proximal gradient methods - Douglas-Rachford splitting - Three-term splitting - Primal-dual splitting algorithms - Newton-type methods

Check out this section for an overview of the available algorithms.

Algorithms rely on: - DifferentiationInterface.jl for automatic differentiation (but you can easily bring your own gradients) - the ProximalCore API for proximal mappings, projections, etc, to handle non-differentiable terms (see for example ProximalOperators for an extensive collection of functions).

Documentation

Stable version (latest release)

Development version (master branch)

Citing

If you use any of the algorithms from ProximalAlgorithms in your research, you are kindly asked to cite the relevant bibliography. Please check this section of the manual for algorithm-specific references.

Contributing

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.

Owner

  • Name: JuliaFirstOrder
  • Login: JuliaFirstOrder
  • Kind: organization

Organization for first-order methods in Julia

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  ProximalAlgorithms.jl: Proximal algorithms for
  nonsmooth optimization in Julia
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Lorenzo
    family-names: Stella
repository-code: >-
  https://github.com/JuliaFirstOrder/ProximalAlgorithms.jl
keywords:
  - proximal algorithms
  - optimization
  - julia
license: MIT

GitHub Events

Total
  • Create event: 1
  • Commit comment event: 6
  • Release event: 1
  • Watch event: 6
  • Issue comment event: 4
  • Push event: 3
  • Pull request review event: 3
  • Pull request review comment event: 2
  • Pull request event: 5
  • Fork event: 2
Last Year
  • Create event: 1
  • Commit comment event: 6
  • Release event: 1
  • Watch event: 6
  • Issue comment event: 4
  • Push event: 3
  • Pull request review event: 3
  • Pull request review comment event: 2
  • Pull request event: 5
  • Fork event: 2

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 181
  • Total Committers: 9
  • Avg Commits per committer: 20.111
  • Development Distribution Score (DDS): 0.177
Past Year
  • Commits: 3
  • Committers: 2
  • Avg Commits per committer: 1.5
  • Development Distribution Score (DDS): 0.333
Top Committers
Name Email Commits
Lorenzo Stella l****a@g****m 149
nantonel n****l@e****e 15
Puya Latafat p****t@g****m 4
Alberto De Marchi a****i@g****m 4
Alberto De Marchi a****2@l****t 3
Guillaume Dalle 2****e 2
Ellis Brown e****i@g****m 2
William Kong w****2@g****m 1
Julia TagBot 5****t 1
Committer Domains (Top 20 + Academic)
libero.it: 1 esat.kuleuven.be: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 26
  • Total pull requests: 71
  • Average time to close issues: 5 months
  • Average time to close pull requests: 11 days
  • Total issue authors: 12
  • Total pull request authors: 8
  • Average comments per issue: 3.77
  • Average comments per pull request: 2.21
  • Merged pull requests: 65
  • Bot issues: 0
  • Bot pull requests: 2
Past Year
  • Issues: 0
  • Pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: 19 days
  • Issue authors: 0
  • Pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 2.4
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • lostella (8)
  • nantonel (5)
  • patwa67 (3)
  • pylat (2)
  • gdalle (1)
  • stevengj (1)
  • rfourquet (1)
  • Shuvomoy (1)
  • 1oly (1)
  • Maximilian-Stefan-Ernst (1)
  • JuliaTagBot (1)
  • aplavin (1)
Pull Request Authors
  • lostella (49)
  • aldma (10)
  • nantonel (8)
  • gdalle (4)
  • pylat (3)
  • github-actions[bot] (2)
  • ProsiDecon (2)
  • wwkong (1)
  • JuliaTagBot (1)
Top Labels
Issue Labels
cannot reproduce (1)
Pull Request Labels
breaking (5) do not merge (1)

Packages

  • Total packages: 1
  • Total downloads:
    • julia 14 total
  • Total dependent packages: 2
  • Total dependent repositories: 0
  • Total versions: 13
juliahub.com: ProximalAlgorithms

Proximal algorithms for nonsmooth optimization in Julia

  • Versions: 13
  • Dependent Packages: 2
  • Dependent Repositories: 0
  • Downloads: 14 Total
Rankings
Stargazers count: 6.8%
Forks count: 9.3%
Dependent repos count: 9.9%
Average: 10.7%
Dependent packages count: 16.6%
Last synced: 6 months ago

Dependencies

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