Explore the current state and future of JuMP, a powerful modeling language for mathematical optimization in Julia, in this 25-minute conference talk from JuliaCon 2021. Gain insights into JuMP's capabilities for solving various optimization problems, including linear programming, semidefinite programming, and integer programming. Learn about recent feature additions, governance changes, and NSF funding for long-term support. Discover the roadmap to JuMP 1.0, including integrated tutorials, performance tips, and planned breaking changes. Understand future plans beyond version 1.0 and find out how to get involved with the JuMP community. The talk covers topics such as JuMP's usage in different fields, related talks at JuliaCon 2021, and the project's GitHub organization structure.
Overview
Syllabus
Welcome!.
What is JuMP?.
What is actually in the JuMP-dev GitHub organization?.
Acknowledgments.
Annual JuMP workshops.
Where is JuMP used?.
Outline of the rest of the talk.
JuMP-related talks at JuliaCon 2021.
Governance changes in JuMP community.
NSF funding for long-term maintenance and support for JuMP.
Features request for JuMP.
Roadmap to JuMP 1.0 from 2019 (two years later).
Many tutorials are now integrated into JuMP documentation.
You should check the performance tips tutorial.
New JuMP features.
We are close to JuMP 1.0, but still, some work needs to be done.
Planned breaking changes in JuMP 1.0.
Plans for the future beyond JuMP 1.0.
How you can get involved with JuMP?.
Taught by
The Julia Programming Language
