libosqp

The Operator Splitting QP Solver

https://github.com/osqp/osqp

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
  • Committers with academic emails
    9 of 36 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.9%) to scientific vocabulary

Keywords

control convex-optimization lasso machine-learning model-predictive-control numerical-optimization optimization portfolio-optimization quadratic-programming solver svm

Keywords from Contributors

interactive mesh interpretability sequences semidefinite-programming generic projection polynomial optim optimization-algorithms
Last synced: 4 months ago · JSON representation ·

Repository

The Operator Splitting QP Solver

Basic Info
  • Host: GitHub
  • Owner: osqp
  • License: apache-2.0
  • Language: C
  • Default Branch: master
  • Homepage: https://osqp.org
  • Size: 62.5 MB
Statistics
  • Stars: 1,937
  • Watchers: 42
  • Forks: 383
  • Open Issues: 109
  • Releases: 17
Topics
control convex-optimization lasso machine-learning model-predictive-control numerical-optimization optimization portfolio-optimization quadratic-programming solver svm
Created over 9 years ago · Last pushed 4 months ago
Metadata Files
Readme Changelog Contributing License Citation

README.md

The Operator Splitting QP Solver

Algebra: Built-in Code coverage License

PyPI - downloads Conda - downloads

Visit our GitHub Discussions page for any questions related to the solver!

The documentation is available at osqp.org

The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving problems in the form ``` minimize 0.5 x' P x + q' x

subject to l <= A x <= u ```

where x in R^n is the optimization variable. The objective function is defined by a positive semidefinite matrix P in S^n_+ and vector q in R^n. The linear constraints are defined by matrix A in R^{m x n} and vectors l and u so that l_i in R U {-inf} and u_i in R U {+inf} for all i in 1,...,m.

Citing OSQP

If you are using OSQP for your work, we encourage you to

We are looking forward to hearing your success stories with OSQP! Please share them with us.

Bug reports and support

Please report any issues via the Github issue tracker. All types of issues are welcome including bug reports, documentation typos, feature requests and so on.

Numerical benchmarks

Numerical benchmarks against other solvers are available here.

Owner

  • Name: OSQP
  • Login: osqp
  • Kind: organization

An organization for the OSQP solver and related repositories

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite the article from the preferred-citation below."
title: "OSQP Solver"
authors:
  - family-names: "Stellato"
    given-names: "Bartolomeo"
  - family-names: "Banjac"
    given-names: "Goran"
  - family-names: "Goulart"
    given-names: "Paul"
  - family-names: "Bemporad"
    given-names: "Alberto"
  - family-names: "Boyd"
    given-names: "Stephen"
url: "https://github.com/osqp/osqp"

# This is the main OSQP paper that describes the algorithm
preferred-citation:
  type: article
  authors:
  - family-names: "Stellato"
    given-names: "Bartolomeo"
  - family-names: "Banjac"
    given-names: "Goran"
  - family-names: "Goulart"
    given-names: "Paul"
  - family-names: "Bemporad"
    given-names: "Alberto"
  - family-names: "Boyd"
    given-names: "Stephen"
  title: "OSQP: an operator splitting solver for quadratic programs"
  journal: "Mathematical Programming Computation"
  start: 637 # First page number
  end: 672 # Last page number
  volume: 12
  issue: 4
  year: 2020
  doi: 10.1007/s12532-020-00179-2
  url: https://doi.org/10.1007/s12532-020-00179-2

GitHub Events

Total
  • Create event: 28
  • Release event: 2
  • Issues event: 39
  • Watch event: 214
  • Delete event: 42
  • Issue comment event: 108
  • Push event: 109
  • Pull request review comment event: 22
  • Pull request review event: 24
  • Pull request event: 46
  • Fork event: 29
Last Year
  • Create event: 28
  • Release event: 2
  • Issues event: 39
  • Watch event: 214
  • Delete event: 42
  • Issue comment event: 108
  • Push event: 109
  • Pull request review comment event: 22
  • Pull request review event: 24
  • Pull request event: 46
  • Fork event: 29

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 2,542
  • Total Committers: 36
  • Avg Commits per committer: 70.611
  • Development Distribution Score (DDS): 0.532
Past Year
  • Commits: 93
  • Committers: 8
  • Avg Commits per committer: 11.625
  • Development Distribution Score (DDS): 0.387
Top Committers
Name Email Commits
Bartolomeo Stellato b****o@g****m 1,190
gbanjac g****c@c****h 552
Ian McInerney i****y@i****g 436
Vineet Bansal v****l@p****m 153
Paul Goulart p****t@e****k 120
Michel m****b@s****h 18
Amit Solomon a****3@p****u 15
dependabot[bot] 4****] 13
Miles Lubin m****n@g****m 4
Edward Barnard e****d@g****m 3
Jesse Jaanila j****a@r****m 3
govindchari g****1@g****m 3
hongkai-dai d****i@g****m 3
maximilianschaller 7****r 3
Nikhil Kalra n****a@a****m 2
Silvio Traversaro s****o@i****t 2
Eric Squires e****s@g****u 2
Alberto Guiggiani g****i@g****m 2
Steven Diamond s****2@s****u 1
Paul Goulart p****t@P****l 1
Paul Goulart p****t@P****d 1
Nicholas Moehle m****e@s****u 1
Bartolomeo Stellato B****o 1
Antoine Hoarau h****s@g****m 1
Balasubramanian Narasimhan b****s@g****m 1
Daniel Morton 4****n 1
Drew d****r 1
Eddie G e****9@h****m 1
Fabien Péan p****n@o****m 1
Gustav Broberg b****g@k****e 1
and 6 more...

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 139
  • Total pull requests: 204
  • Average time to close issues: 12 months
  • Average time to close pull requests: about 1 month
  • Total issue authors: 93
  • Total pull request authors: 21
  • Average comments per issue: 1.75
  • Average comments per pull request: 2.19
  • Merged pull requests: 162
  • Bot issues: 0
  • Bot pull requests: 30
Past Year
  • Issues: 32
  • Pull requests: 58
  • Average time to close issues: 7 days
  • Average time to close pull requests: 8 days
  • Issue authors: 25
  • Pull request authors: 10
  • Average comments per issue: 0.59
  • Average comments per pull request: 1.78
  • Merged pull requests: 33
  • Bot issues: 0
  • Bot pull requests: 12
Top Authors
Issue Authors
  • imciner2 (15)
  • bstellato (10)
  • vineetbansal (6)
  • yurivict (4)
  • DRETQ (3)
  • yeasmin62 (3)
  • traversaro (3)
  • bnaras (2)
  • baharehhj (2)
  • h-vetinari (2)
  • layman163 (2)
  • goulart-paul (2)
  • Peargrady (2)
  • yongqli (2)
  • kirkrudolph (2)
Pull Request Authors
  • imciner2 (81)
  • vineetbansal (52)
  • dependabot[bot] (30)
  • AmitSolomonPrinceton (8)
  • govindchari (5)
  • gbanjac (5)
  • Jaanilj (3)
  • mosfet80 (2)
  • anchao (2)
  • goulart-paul (2)
  • danielpmorton (2)
  • bxtbold (2)
  • david-g-sap (2)
  • bstellato (1)
  • wep21 (1)
Top Labels
Issue Labels
docs (8) MKL (7) CUDA (6) interface (5) linear system solver (4) derivative (2) enhancement (2) bug (2) feature request (1)
Pull Request Labels
dependencies (30) CI (6) MKL (4) enhancement (4) bug (3) docs (2) CUDA (2)

Packages

  • Total packages: 3
  • Total downloads: unknown
  • Total dependent packages: 6
    (may contain duplicates)
  • Total dependent repositories: 2
    (may contain duplicates)
  • Total versions: 18
proxy.golang.org: github.com/osqp/osqp
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 6.6%
Average: 6.8%
Dependent repos count: 7.0%
Last synced: 4 months ago
conda-forge.org: libosqp
  • Versions: 2
  • Dependent Packages: 5
  • Dependent Repositories: 1
Rankings
Forks count: 10.2%
Dependent packages count: 10.4%
Stargazers count: 11.2%
Average: 14.0%
Dependent repos count: 24.3%
Last synced: 4 months ago
anaconda.org: libosqp

OSQP is a software package for solving convex quadratic programming (QP) problems. It stands for "Operator Splitting Quadratic Program solver." OSQP is designed to efficiently solve large-scale QP problems with sparsity structure.

  • Homepage: https://osqp.org/
  • License: Apache-2.0
  • Latest release: 0.6.3
    published over 2 years ago
  • Versions: 1
  • Dependent Packages: 1
  • Dependent Repositories: 1
Rankings
Forks count: 18.9%
Stargazers count: 20.3%
Average: 30.3%
Dependent packages count: 30.6%
Dependent repos count: 51.3%
Last synced: 4 months ago

Dependencies

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