https://github.com/berkeleyautomation/rlqp_solver

https://github.com/berkeleyautomation/rlqp_solver

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/berkeleyautomation/rlqp_solver
• Owner: BerkeleyAutomation
• License: apache-2.0
• Created: 2021-06-21T16:00:03.000Z (almost 4 years ago)
• Default Branch: rlqp
• Last Pushed: 2021-07-15T06:20:21.000Z (almost 4 years ago)
• Last Synced: 2025-01-25T21:26:31.426Z (4 months ago)
• Language: C
• Size: 35.3 MB
• Stars: 0
• Watchers: 6
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: docs/contributing/index.rst
  • License: LICENSE
  • Roadmap: ROADMAP.md

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README

        
# The Operator Splitting QP Solver

[![Build status of the master branch on Linux/OSX](https://img.shields.io/travis/oxfordcontrol/osqp/master.svg?label=Linux%20%2F%20OSX%20build)](https://travis-ci.org/oxfordcontrol/osqp)

[![Build status of the master branch on Windows](https://img.shields.io/appveyor/ci/bstellato/osqp/master.svg?label=Windows%20build)](https://ci.appveyor.com/project/bstellato/osqp/branch/master)

[![Code coverage](https://coveralls.io/repos/github/oxfordcontrol/osqp/badge.svg?branch=master)](https://coveralls.io/github/oxfordcontrol/osqp?branch=master)

![License](https://img.shields.io/badge/License-Apache%202.0-brightgreen.svg)

![PyPI - downloads](https://img.shields.io/pypi/dm/osqp.svg?label=Pypi%20downloads)

![Conda - downloads](https://img.shields.io/conda/dn/conda-forge/osqp.svg?label=Conda%20downloads)

[**Join our forum on Discourse**](https://osqp.discourse.group) for any questions related to the solver!

**The documentation** is available at [**osqp.org**](https://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`.

The latest version is `0.6.2`.

## Citing OSQP

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

* [Cite the related papers](https://osqp.org/citing/),

* Put a star on this repository.

**We are looking forward to hearing your success stories with OSQP!** Please [share them with us](mailto:[email protected]).

## Bug reports and support

Please report any issues via the [Github issue tracker](https://github.com/oxfordcontrol/osqp/issues). 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](https://github.com/oxfordcontrol/osqp_benchmarks).