Metadata-Version: 2.1
Name: osqp
Version: 0.6.7.post3
Summary: OSQP: The Operator Splitting QP Solver
Home-page: https://osqp.org/
Author: Goran Banjac
Author-email: Bartolomeo Stellato <bartolomeo.stellato@gmail.com>
Classifier: License :: OSI Approved :: Apache Software License
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: numpy>=1.7
Requires-Dist: scipy>=0.13.2
Requires-Dist: qdldl
Provides-Extra: dev
Requires-Dist: scipy!=1.12.0; extra == "dev"

Python interface for OSQP
=========================

.. image:: https://github.com/oxfordcontrol/qdldl-python/workflows/Build/badge.svg?branch=master
   :target: https://github.com/oxfordcontrol/osqp-python/actions


Python wrapper for `OSQP <https://osqp.org/>`__: the Operator
Splitting QP Solver.

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 in R^m U {-inf}^m``,
``u in R^m U {+inf}^m``.

Installation
------------

To install ``osqp`` for python, make sure that you're using a recent version of ``pip`` (``pip install --upgrade pip``)
and then use ``pip install osqp``.

To install `osqp` from source, clone the repository (``git clone --recurse-submodules https://github.com/osqp/osqp-python``)
and run ``pip install .`` from inside the cloned folder.

Documentation
-------------

The interface is documented `here <https://osqp.org/>`__.


Packaging
---------
This repository performs the tests and builds the pypi wheels. Conda packages are on `conda-forge <https://github.com/conda-forge/osqp-feedstock>`__.
