Re-posted from: http://abelsiqueira.github.io/my-experience-in-the-jump-dev-annual-workshop/
Last week I had the pleasure of being invited to the Second annual JuMP-dev
workshop, which happened in June 27-29,
2018 at Bordeaux, France.
I’ve presented the packages from the Julia Smooth
Optimizers organization, and had a very good
time meeting with the JuMP developers.
For those still unaware, JuMP is a modelling
language for Mathematical Programming written in Julia. It provides access to a few
different solvers for many kinds of problems, and it works inside of Julia, so one can
enjoy the advantages of having a robust language if there is a need for advanced usage.
I’ve used Julia in classes since 2016 for teaching numerical calculus, and the packages
of Julia Smooth Optimizers for nonlinear optimization this last semester.
I’ve taught a quick tutorial on JuMP in that class to solve a few nonlinear problems,
and discuss the starting point dependency of nonlinear solvers.
The notebook can be found here in
portuguese.