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# OSQP.jl | ||
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[![Build Status](https://github.com/oxfordcontrol/OSQP.jl/workflows/CI/badge.svg)](https://github.com/oxfordcontrol/OSQP.jl/actions) | ||
[![codecov.io](http://codecov.io/github/oxfordcontrol/OSQP.jl/coverage.svg?branch=master)](http://codecov.io/github/oxfordcontrol/OSQP.jl?branch=master) | ||
[![Build Status](https://github.com/osqp/OSQP.jl/workflows/CI/badge.svg)](https://github.com/osqp/OSQP.jl/actions) | ||
[![codecov.io](http://codecov.io/github/osqp/OSQP.jl/coverage.svg?branch=master)](http://codecov.io/github/osqp/OSQP.jl?branch=master) | ||
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Julia wrapper for [OSQP](https://osqp.org/): the Operator Splitting QP Solver. | ||
[OSQP.jl](https://github.com/osqp/OSQP.jl) is a Julia wrapper for | ||
[OSQP](https://osqp.org/): the Operator Splitting QP Solver. | ||
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The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving problems in the form | ||
## License | ||
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OSQP.jl is licensed under the [Apache-2.0 license](https://github.com/osqp/OSQP.jl/blob/master/LICENSE.md). | ||
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The upstream solver, [osqp/osqp](https://github.com/osqp/osqp) is also licensed | ||
under the [Apache-2.0 license](https://github.com/osqp/osqp/blob/master/LICENSE). | ||
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## Installation | ||
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Install OSQP.jl using the Julia package manager | ||
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```julia | ||
import Pkg | ||
Pkg.add("OSQP") | ||
``` | ||
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## Problem class | ||
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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 | ||
``` | ||
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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`. | ||
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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`. | ||
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## Documentation | ||
The interface is documented [here](https://osqp.org/). | ||
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Detailed documentation is available at [https://osqp.org/](https://osqp.org/). |