JuMP 1.0: Recent improvements to a modeling language for mathematical optimization

Miles Lubin, Oscar Dowson, Joaquim Dias Garcia, Joey Huchette, Benoît Legat +1 more
6/1/2022
cs.PL

No confident code implementation found for this paper.

Abstract

JuMP is an algebraic modeling language embedded in the Julia programming language. JuMP allows users to model optimization problems of a variety of kinds, including linear programming, integer programming, conic optimization, semidefinite programming, and nonlinear programming, and handles the low-level details of communicating with solvers. After nearly 10 years in development, JuMP 1.0 was released in March, 2022. In this short communication, we highlight the improvements to JuMP from recent releases up to and including 1.0.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{lubin2022jump,
  title  = {JuMP 1.0: Recent improvements to a modeling language for mathematical optimization},
  author = {Miles Lubin and Oscar Dowson and Joaquim Dias Garcia and Joey Huchette and Benoît Legat and Juan Pablo Vielma},
  year   = {2022},
  eprint = {2206.03866},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/2206.03866}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2206.03866.svg)](https://codeofpaper.com/paper/2206.03866)

Discussion