Add README for JuMP

docs/jump/README.md

@@ -0,0 +1,53 @@
+![Logo](https://raw.githubusercontent.com/hdavid16/DisjunctiveProgramming.jl/master/logo.png)
+
+[`DisjunctiveProgramming.jl`](https://github.com/hdavid16/DisjunctiveProgramming.jl) is a 
+`JuMP` extension for expressing and solving Generalized Disjunctive Programs. 
+[Generalized Disjunctive Programming](chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://egon.cheme.cmu.edu/Papers/IMAGrossmannRuiz.pdf) 
+(GDP) is a modeling paradigm for easily modeling logical conditions which can be reformulated
+into a variety of mixed-integer programs. 
+
+| **Current Version**                     | **Documentation**                                                               | **Build Status**                                                                                | **Citation** |
+|:---------------------------------------:|:-------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------:|:--------------------------------------:|
+| [![](https://docs.juliahub.com/DisjunctiveProgramming/version.svg)](https://juliahub.com/ui/Packages/General/DisjunctiveProgramming) | [![](https://img.shields.io/badge/docs-stable-blue.svg)](https://hdavid16.github.io/DisjunctiveProgramming.jl/stable/) | [![Build Status](https://github.com/infiniteopt/InfiniteOpt.jl/workflows/CI/badge.svg?branch=master)](https://github.com/hdavid16/DisjunctiveProgramming.jl/actions?query=workflow%3ACI) [![codecov.io](https://codecov.io/gh/hdavid16/DisjunctiveProgramming.jl/graph/badge.svg?token=3FRPGMWF0J)](https://codecov.io/gh/hdavid16/DisjunctiveProgramming.jl) | [![arXiv](https://img.shields.io/badge/arXiv-2304.10492-b31b1b.svg)](https://arxiv.org/abs/2304.10492) |
+
+`DisjunctiveProgramming` builds upon `JuMP` to add support GDP modeling objects which include:
+- Logical variables (``Y \in \{\text{False}, \text{True}\}``)
+- Disjunctions
+- Logical constraints (also known as propositions)
+- Cardinality constraints
+
+It also supports automatic conversion of the GDP model into a regular mixed-integer `JuMP` model 
+via a variety of reformulations which include:
+- Big-M
+- Hull
+- Indicator constraints
+Moreover, `DisjunctiveProgramming` provides an extension API to easily add new reformulation methods.
+
+## License
+`InfiniteOpt` is licensed under the [MIT "Expat" license](https://github.com/hdavid16/DisjunctiveProgramming.jl/blob/master/LICENSE).
+
+## Installation
+`DisjunctiveProgramming.jl` is a registered [Julia](https://julialang.org/) package and 
+can be installed by entering the following in the REPL.
+
+```julia
+julia> import Pkg; Pkg.add("DisjunctiveProgramming")
+```
+
+## Documentation
+Please visit our [documentation pages](https://hdavid16.github.io/DisjunctiveProgramming.jl/stable/) 
+to learn more.
+
+## Citing
+[![arXiv](https://img.shields.io/badge/arXiv-2304.10492-b31b1b.svg)](https://arxiv.org/abs/2304.10492)
+
+If you use DisjunctiveProgramming.jl in your research, we would greatly appreciate your 
+citing it.
+```latex
+@article{perez2023disjunctiveprogramming,
+  title={DisjunctiveProgramming. jl: Generalized Disjunctive Programming Models and Algorithms for JuMP},
+  author={Perez, Hector D and Joshi, Shivank and Grossmann, Ignacio E},
+  journal={arXiv preprint arXiv:2304.10492},
+  year={2023}
+}
+```