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QuadraticModels.jl

Data structures for linear and quadratic optimization problems based on NLPModels.jl

Install / Use

/learn @JuliaSmoothOptimizers/QuadraticModels.jl
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

QuadraticModels

Linux/macOS/Windows: CI FreeBSD: Build Status codecov.io Documentation/stable Documentation/dev

A package to model linear and quadratic optimization problems using the NLPModels.jl data structures.

The problems represented have the form

<p align="center"> optimize &nbsp; c₀ + cᵀ x + ½ xᵀ Q x &nbsp;&nbsp; subject to &nbsp; L ≤ Ax ≤ U and ℓ ≤ x ≤ u, </p>

where the square symmetric matrix Q is zero for linear optimization problems.

Bug reports and discussions

If you think you found a bug, feel free to open an issue. Focused suggestions and requests can also be opened as issues. Before opening a pull request, start an issue or a discussion on the topic, please.

If you want to ask a question not suited for a bug report, feel free to start a discussion here. This forum is for general discussion about this repository and the JuliaSmoothOptimizers organization, so questions about any of our packages are welcome.

Related Skills

View on GitHub
GitHub Stars20
CategoryDevelopment
Updated2d ago
Forks13

Languages

Julia

Security Score

80/100

Audited on Apr 2, 2026

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