osqp_benchmarks | QP Benchmarks for the OSQP Solver

by osqp Python Version: Current License: Apache-2.0

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

kandi X-RAY | osqp_benchmarks Summary

osqp_benchmarks is a Python library. osqp_benchmarks has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However osqp_benchmarks build file is not available. You can download it from GitHub.

These are the scripts to compare the following Quadratic Program (QP) solvers. The detailed description of these tests is available in this paper. To run these scripts you need pandas and cvxpy installed. All the scripts (apart from the parametric examples) come with options (default to False).

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Quality

Security

License

Reuse

Support

osqp_benchmarks has a low active ecosystem.

It has 69 star(s) with 17 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of osqp_benchmarks is current.

Quality

osqp_benchmarks has 0 bugs and 0 code smells.

Security

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

osqp_benchmarks code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

osqp_benchmarks is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

osqp_benchmarks releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

It has 2927 lines of code, 119 functions and 44 files.

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

Top functions reviewed by kandi - BETA

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

Solves the problem
Update parameters in QP problem
Generate a CVX problem
Create directory if necessary
Solve a problem
Determine if the problem is a problem
Handle enum parameter
Handle MOSEK parameter
Solve the QP problem
Solve the problem
Update the x0 parameter
Calculate the b
Solves the Lasso problem
Update lambda parameter in QP problem
Solve the solver
Solve a single example problem
Generate QP problem
Solve the problem problem
Solve the solver problem
Solves a single example
Solve an example
Compute the parameter list for each problem
Compute performance statistics for a given benchmark type
Compute performance profiles
Compute failure rates for each solver
Generate log space

Get all kandi verified functions for this library.

osqp_benchmarks Key Features

No Key Features are available at this moment for osqp_benchmarks.

osqp_benchmarks Examples and Code Snippets

No Code Snippets are available at this moment for osqp_benchmarks.

Community Discussions

No Community Discussions are available at this moment for osqp_benchmarks.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install osqp_benchmarks

You can download it from GitHub.
You can use osqp_benchmarks like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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