JuMP-dev 2022
We are pleased to announce that JuMP-dev 2022 will be co-located with JuliaCon 2022!
This year JuliaCon is virtual, and will be held 27-29 July, 2022.
Outline
The purpose of JuMP-dev is to bring together students, researchers, and practitioners with interests in the methodological, algorithmic, and software aspects of JuMP and related packages. In particular, we invite new contributors and those who have not met the core development team.
How do I attend?
JuliaCon 2022 is entirely virtual and free to attend, but registration is required.
All participants will uphold the JuliaCon Code of Conduct.
Schedule
All talks at JuMP-dev will be played live on YouTube at the times below. Register for JuliaCon to receive a link and instructions for how to watch. After the event, we will replace the “Time” column with links to the recorded videos.
Note that these times are subject to change. See the JuliaCon schedule for the definitive schedule.
| Title | Speaker | Video link |
|---|---|---|
| July 27 | ||
| UnitJuMP: Automatic unit handling in JuMP | Truls Flatberg | video |
| SparseVariables - Efficient sparse modelling with JuMP | Lars Hellemo | video |
| JuMP ToQUBO Automatic Reformulation | Pedro Xavier | video |
| A multi-precision algorithm for convex quadratic optimization | Geoffroy Leconte | video |
| Interior-point conic optimization with Clarabel.jl | Paul Goulart | video |
| break | ||
| JuMP 1.0: What you need to know | Miles Lubin | video |
| A user’s perspective on using JuMP in an academic project | Mathieu Tanneau | video |
| COPT and its Julia interface | Qi Huangfu | video |
| JuMP and HiGHS: the best open-source linear optimization solvers | Julian Hall | video |
| break | ||
| Pajarito’s MathOptInterface makeover | Chris Coey | video |
| A matrix-free fix-propagate-and-project heuristic for MILPs | Mathieu Besançon | video |
| Verifying Inverse Model Neural Networks Using JuMP | Chelsea Sidrane | video |
| Complex number support in JuMP | Benoît Legat | video |
| July 28 | ||
| Improving nonlinear programming support in JuMP | Oscar Dowson | video |
| Benchmarking Nonlinear Optimization with AC Optimal Power Flow | Carleton Coffrin | video |
| Advances in Transformations and NLP Modeling for InfiniteOpt.jl | Joshua Pulsipher | video |
| break | ||
| The JuliaSmoothOptimizers (JSO) Organization | Dominique Orban | video |
| PDE-constrained optimization using JuliaSmoothOptimizers | Tangi Migot | video |
| Generalized Disjunctive Programming via DisjunctiveProgramming | Hector D. Perez | video |
| July 29 | ||
| DiffOpt.jl differentiating your favorite optimization problems | Joaquim Dias Garcia | video |
| Recent developments in ParametricOptInterface.jl | Guilherme Bodin | video |
| Stochastic Optimal Control with MarkovBounds.jl | Flemming Holtorf | video |
| Optimising Fantasy Football with JuMP | Dean Markwick | video |
| Risk Budgeting Portfolios from simulations | Bernardo Freitas Paulo da Costa | video |
| break | ||
| Streamlining nonlinear programming on GPUs | François Pacaud and Michel Schanen | video |
| Fast optimization via randomized numerical linear algebra | Theo Diamandis | video |
There were also a number of other talks at JuliaCon that, although not part of the official JuMP-dev program, still used JuMP and that you might find interesting.
| Title | Speaker | Video link |
|---|---|---|
| GeneDrive.jl: Simulate and Optimize Biological Interventions | Valeri Vasquez | video |
| Optimization of bike manufacturing and distribution (use-case) | Przemysław Szufel | video |
| QuantumCircuitOpt for Provably Optimal Quantum Circuit Design | Harsha Nagarajan | video |
Program committee
- Oscar Dowson
- Mathieu Besançon (ZIB)
- Theo Diamandis (MIT)
- Joaquim Dias Garcia (PSR)
- Benoît Legat (MIT)
- Miles Lubin (Google)
- François Pacaud (ANL)
To contact the program committee, write to jump-dev-2022@googlegroups.com.