https://github.com/berkeleyautomation/rlqp-python
Python interface for RQLP (Accelerating Quadratic Optimization with RL)
https://github.com/berkeleyautomation/rlqp-python
Last synced: 3 months ago
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Python interface for RQLP (Accelerating Quadratic Optimization with RL)
- Host: GitHub
- URL: https://github.com/berkeleyautomation/rlqp-python
- Owner: BerkeleyAutomation
- License: apache-2.0
- Created: 2021-06-21T15:59:37.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2021-07-23T08:28:50.000Z (almost 5 years ago)
- Last Synced: 2025-04-13T03:43:51.919Z (about 1 year ago)
- Language: Python
- Homepage: https://berkeleyautomation.github.io/rlqp
- Size: 27.4 MB
- Stars: 6
- Watchers: 6
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
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README
Python interface for RQLP (Accelerating Quadratic Optimization with RL)
=========================
Python wrapper for `RLQP `__: the Operator
Splitting QP Solver accelerated with RL.
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``.
Documentation
-------------
The interface is documented `here `__.
Packaging
---------
This repository performs the tests and builds the pypi wheels.