PartiallySeparableNLPModels

A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl

https://github.com/juliasmoothoptimizers/partiallyseparablenlpmodels.jl

Science Score: 54.0%

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
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.7%) to scientific vocabulary

Keywords

julia optimization partial-separability
Last synced: 7 months ago · JSON representation ·

Repository

A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl

Basic Info
  • Host: GitHub
  • Owner: JuliaSmoothOptimizers
  • License: other
  • Language: Julia
  • Default Branch: master
  • Homepage:
  • Size: 1.16 MB
Statistics
  • Stars: 9
  • Watchers: 3
  • Forks: 2
  • Open Issues: 12
  • Releases: 9
Topics
julia optimization partial-separability
Created almost 6 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation Zenodo

README.md

PartiallySeparableNLPModels: Exploiting the partially-separable structure to define partitioned quasi-Newton NLPModels

| Documentation | Linux/macOS/Windows/FreeBSD | Coverage | DOI | |:-----------------:|:-------------------------------:|:------------:|:-------:| | docs-stable docs-dev | build-gh build-cirrus | codecov | doi |

How to cite

If you use PartiallySeparableNLPModels.jl in your work, please cite using the format given in CITATION.bib.

Philosophy

The purpose of PartiallySeparableNLPModels.jl is to define automatically partially-separable NLPModels. Moreover, it defines several partitioned quasi-Newton models which are meant to be minimized through solvers from JSOSolvers.jl

Compatibility

Julia ≥ 1.6.

How to install

pkg> add PartiallySeparableNLPModels pkg> test PartiallySeparableNLPModels

How to use

See the tutorial.

Dependencies

The module uses ExpressionTreeForge.jl to detect the partially-separable structure, PartitionedStructures.jl to allocate partitioned quasi-Newton approximations and PartitionedVectors.jl to fit the AbstractVector interface mandatory for AbstractNLPModel methods.

Bug reports and discussions

If you think you found a bug, feel free to open an issue. Focused suggestions and requests can also be opened as issues. Before opening a pull request, start an issue or a discussion on the topic, please.

If you want to ask a question not suited for a bug report, feel free to start a discussion here. This forum is for general discussion about this repository and the JuliaSmoothOptimizers, so questions about any of our packages are welcome.

Owner

  • Name: JuliaSmoothOptimizers
  • Login: JuliaSmoothOptimizers
  • Kind: organization
  • Location: DOI: 10.5281/zenodo.2655082

Infrastructure and Solvers for Continuous Optimization in Julia

Citation (CITATION.bib)

@Misc{raynaud-orban-bigeon-psnlp-2022,
  author = {P. Raynaud, D. Orban, J.Bigeon},
  title = {{PartiallySeparableNLPModels.jl}: Automatic detection and exploitation of partial separability toward partitioned quasi-Newton methods},
  month = {July},
  howpublished = {\url{https://github.com/JuliaSmoothOptimizers/PartiallySeparableNLPModels.jl}},
  year = {2022},
  DOI = {10.5281/zenodo.6940306}
}

GitHub Events

Total
  • Delete event: 5
  • Issue comment event: 26
  • Push event: 22
  • Pull request review event: 6
  • Pull request review comment event: 1
  • Pull request event: 10
  • Create event: 6
  • Commit comment event: 4
Last Year
  • Delete event: 5
  • Issue comment event: 26
  • Push event: 22
  • Pull request review event: 6
  • Pull request review comment event: 1
  • Pull request event: 10
  • Create event: 6
  • Commit comment event: 4

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 25
  • Total pull requests: 76
  • Average time to close issues: 3 months
  • Average time to close pull requests: 19 days
  • Total issue authors: 3
  • Total pull request authors: 5
  • Average comments per issue: 1.64
  • Average comments per pull request: 0.99
  • Merged pull requests: 68
  • Bot issues: 0
  • Bot pull requests: 15
Past Year
  • Issues: 0
  • Pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: about 17 hours
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 1.4
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • paraynaud (20)
  • tmigot (3)
  • JuliaTagBot (1)
Pull Request Authors
  • paraynaud (50)
  • github-actions[bot] (15)
  • amontoison (9)
  • tmigot (4)
  • dpo (3)
Top Labels
Issue Labels
documentation (2)
Pull Request Labels
formatting (15) automated pr (15) no changelog (15) run benchmark (2)

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 1
  • Total dependent repositories: 0
  • Total versions: 9
juliahub.com: PartiallySeparableNLPModels

A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl

  • Versions: 9
  • Dependent Packages: 1
  • Dependent Repositories: 0
Rankings
Dependent repos count: 9.9%
Dependent packages count: 23.0%
Average: 25.1%
Forks count: 33.3%
Stargazers count: 34.1%
Last synced: 8 months ago

Dependencies

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