qpsolvers | Quadratic programming solvers in Python with a unified API | GPU library

by stephane-caron Python Version: 2.7.4 License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | qpsolvers Summary

qpsolvers is a Python library typically used in Hardware, GPU applications. qpsolvers has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However qpsolvers build file is not available. You can install using 'pip install qpsolvers' or download it from GitHub, PyPI.

Quadratic programming solvers in Python with a unified API

Support

Quality

Security

License

Reuse

Support

qpsolvers has a low active ecosystem.

It has 347 star(s) with 66 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 63 have been closed. On average issues are closed in 23 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of qpsolvers is 2.7.4

Quality

qpsolvers has 0 bugs and 0 code smells.

Security

qpsolvers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

qpsolvers code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

qpsolvers is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

qpsolvers releases are available to install and integrate.

Deployable package is available in PyPI.

qpsolvers has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

qpsolvers saves you 325 person hours of effort in developing the same functionality from scratch.

It has 1823 lines of code, 80 functions and 36 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed qpsolvers and discovered the below as its top functions. This is intended to give you an instant insight into qpsolvers implemented functionality, and help decide if they suit your requirements.

Solve QP problem using OQP
R Solve a qp problem
Check the problem constraints
Solve the problem
Wrapper for qpswift
Concatenate a linear equation
Concatenate two matrices
Solve a high - resolution problem using high confidence intervals
Sets the columns of the highspy model
Prints a matrix representation of a matrix
Plot results
Plots the MPC solution
Time each solver
Verify that all solutions have the same solution
Time a set of solvers
Solve a random qp
Solve a linear equation
Solve a covariance matrix
Solve a polynomial using Ecos
Solve QP using gurobi
Solve QX using CVX
Perform quadratic solver
Solve QPOASES
R Solve a Qp problem
Solve QP problem
Solve the system

Get all kandi verified functions for this library.

qpsolvers Key Features

No Key Features are available at this moment for qpsolvers.

qpsolvers Examples and Code Snippets

No Code Snippets are available at this moment for qpsolvers.

Community Discussions

Trending Discussions on qpsolvers

How to properly install qpsolvers for Python on Windows?

QUESTION

How to properly install qpsolvers for Python on Windows?

Asked 2022-Mar-17 at 18:58

I am trying to install qpsolvers using pip. The installation goes without errors, and the module imports properly afterwards.

However, qpsolvers has no available solvers for it to use :

...

ANSWER

Answered 2022-Mar-17 at 18:58

I install qpsolvers using pip install qpsolvers. the link is here: https://pypi.org/project/qpsolvers/

I run the test code to check it works:

Source https://stackoverflow.com/questions/71517464

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install qpsolvers

Check out the documentation for Python 2 or Windows instructions.

Support

Can I print the list of solvers available on my machine? Absolutely: print(qpsolvers.available_solvers)Is it possible to solve a least squares rather than a quadratic program? Yes, qpsolvers also provides a solve_ls function.I have a squared norm in my cost function, how can I apply a QP solver to my problem? You can cast squared norms to QP matrices and feed the result to solve_qp.I have a non-convex quadratic program. Is there a solver I can use? Unfortunately most available QP solvers are designed for convex problems. If your cost matrix P is semi-definite rather than definite, try OSQP. If your problem has concave components, go for a nonlinear solver such as IPOPT e.g. using CasADi.I get the following build error on Windows when running pip install qpsolvers. You will need to install the Visual C++ Build Tools to build all package dependencies.

Find more information at: