The state of JuMP | Oscar Dowson | JuliaCon 2021

This talk was presented as part of JuliaCon 2021.

Abstract:
JuMP is a modeling language and collection of supporting packages for mathematical optimization in Julia. JuMP makes it easy to formulate and solve linear programming, semidefinite programming, integer programming, convex optimization, constrained nonlinear optimization, and related classes of optimization problems.

In this talk, we discuss the state of JuMP, preview some recently added features, and discuss our plans for the future.

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Contents
00:00 Welcome!
00:33 What is JuMP?
01:45 What is actually in the JuMP-dev GitHub organization?
02:58 Acknowledgments
03:16 Annual JuMP workshops
03:39 Where is JuMP used?
05:10 Outline of the rest of the talk
05:42 JuMP-related talks at JuliaCon 2021
07:31 Governance changes in JuMP community
09:18 NSF funding for long-term maintenance and support for JuMP
11:25 Features request for JuMP
11:39 Roadmap to JuMP 1.0 from 2019 (two years later)
12:41 Many tutorials are now integrated into JuMP documentation
14:12 You should check the performance tips tutorial
15:33 New JuMP features
18:52 We are close to JuMP 1.0, but still, some work needs to be done
20:08 Planned breaking changes in JuMP 1.0
21:37 Plans for the future beyond JuMP 1.0
23:21 How you can get involved with JuMP?

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Видео The state of JuMP | Oscar Dowson | JuliaCon 2021 канала The Julia Programming Language