node-quadprog | Module for solving quadratic programming problems

by albertosantini JavaScript Version: Current License: MIT

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kandi X-RAY | node-quadprog Summary

node-quadprog is a JavaScript library. node-quadprog has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i quadprog' or download it from GitHub, npm.

This module contains routines for solving quadratic programming problems, written in JavaScript. quadprog is a porting of a [R] package: [quadprog] implemented in Fortran. It implements the dual method of Goldfarb and Idnani (1982, 1983) for solving quadratic programming problems of the form min(d T b + 1=2b T Db) with the constraints AT b >= b0.

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Support

node-quadprog has a low active ecosystem.

It has 27 star(s) with 10 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 1 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of node-quadprog is current.

Quality

node-quadprog has 0 bugs and 0 code smells.

Security

node-quadprog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

node-quadprog code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

node-quadprog is licensed under the MIT License. This license is Permissive.

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

Reuse

node-quadprog releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

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node-quadprog Key Features

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node-quadprog Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install node-quadprog

To install with [npm](http://github.com/isaacs/npm):. Tested locally with Node.js 10.x and with R 3.4.1.

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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