| Name | osqp JSON |
| Version |
0.6.7.post3
JSON |
| download |
| home_page | https://osqp.org/ |
| Summary | OSQP: The Operator Splitting QP Solver |
| upload_time | 2024-10-11 02:15:06 |
| maintainer | None |
| docs_url | None |
| author | Goran Banjac |
| requires_python | None |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
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>`__.
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