JuMP-dev 2021
We are pleased to announce that JuMP-dev 2021 will be co-located with JuliaCon 2021!
This year JuliaCon is virtual, and will be held 28-30 July, 2021.
Outline
The purpose of JuMP-dev is to bring together students, researchers, and practitioners with interests in the software aspects of JuMP and related packages. In particular, we invite new contributors and those who have not met the core development team.
Watch the talks
You can watch all of the talks for JuMP-dev 2021 in this Youtube playlist:
You can also skip to one of the talks using the links below:
- The state of JuMP - Oscar Dowson
- What’s new in COSMO? - Michael Garstka
- Conic optimization example problems in Hypatia.jl - Chris Coey
- Symmetry reduction for Sum-of-squares programming - Benoît Legat and Marek Kaluba
- Sparse matrix decomposition and completion with Chordal.jl - Theo Diamandis
- TSSOS.jl: exploiting sparsity in polynomial optimization - Jie Wang
- Automatic dualization with Dualization.jl - Guilherme Bodin
- Modeling bilevel optimization problems with BilevelJuMP.jl - Joaquim Dias Garcia
- Modeling Infinite-Dimensional Optimization Problems in InfiniteOpt.jl - Joshua Pulsipher
- Hybrid Strategies using Linear and Piecewise-Linear Decision Rules for Multistage Adaptive Linear Optimization - Said Rahal
- Flexible set projections with MathOptInterface - Mathieu Besançon
- Solving optimization problems at Fonterra - Oleg Barbin
- The Design of the MiniZinc Modelling Language - Gleb Belov
- ConstraintSolver.jl - First constraint solver written in Julia - Ole Kröger
- ConstraintProgrammingExtensions: MathOptInterface gets broader usage - Thibaut Cuvelier
- Nonlinear programming on the GPU - François Pacaud
- Nonconvex.jl: automatic differentiation based general nonlinear and mixed integer nonlinear optimization package - Mohamed Tarek
- NOMAD.jl: A derivative-free optimization solver for blackbox optimization - Ludovic Salomon
- MadNLP.jl: A Mad Nonlinear Programming Solver - Sungho Shin
- Linearly Constrained Separable Optimization - Ellis Brown
- NExOS.jl for Nonconvex Exterior-point Operator Splitting - Shuvomoy Das Gupta
- Global constrained nonlinear optimisation with interval methods - David P. Sanders
- Modelling Australia’s National Electricity Market with JuMP - James D Foster
- AnyMOD.jl: A Julia package for creating energy system models - Leonard Göke
- Power Market Tool: Methods and Parametrization for Modeling Flow Based Market Coupling - Richard Weinhold
- A Brief Introduction to InfrastructureModels - Carleton Coffrin
- UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment - Alinson Santos Xavier
- Linear programming by first-order methods - Miles Lubin
- Cerberus: a solver for mixed-integer programs with disjunctions - Joey Huchette
- HiGHS - Ivet Galabova
- A derivative-free local optimizer for multi-objective problems - Manuel Berkemeier
- vOptSolver: an ecosystem for multi-objective linear optimization - Xavier Gandibleux
How do I attend?
JuliaCon 2021 is entirely virtual and free to attend, but registration is required.
All participants will uphold the JuliaCon Code of Conduct.
Where is the schedule?
Talks for JuMP-dev are scheduled under the “JuMP-dev” track of JuliaCon. See https://pretalx.com/juliacon2021/schedule/.
How do I watch the talks?
Links will be made available on the JuliaCon website: https://juliacon.org/2021/.
The talks will also be on YouTube if you can’t watch live.
How to I ask questions of the speaker?
First, register for JuliaCon.
Registering will allow you to access the Discord server (link still to come…) where there will be a JuMP-dev chatroom to talk to the core developers and ask questions.
How to give a talk
Talk submissions have now closed.
Similarly to previous iterations of the workshop, we invite participants to present work related to JuMP. In particular, we especially seek talks related to:
- JuMP core development (MathOptInterface, JuMP 1.0)
- Mathematical optimization solvers written in Julia
- Automatic differentiation in Julia (e.g., Cassette, Zygote)
- Julia interfaces to solvers
- JuMP extensions (stochastic programming, robust optimization, multiobjective optimization, …)
- Optimization libraries that use JuMP
- Developer tools for JuMP
- Commercial use of JuMP
- JuMP for teaching
Speakers are encouraged to highlight challenges and lessons learned, not only successes. Talks should be aimed at a general audience, but familiarity with JuMP/Julia can be assumed.
See the previous JuMP-dev workshops for examples of accepted talks.
Contact
To contact the organizing committee, write to jump-dev-2021@googlegroups.com.