Can you use integer optimization to make social interactions easier?
#JuliaLang #ORMS #MathOpt
The types and structure of @JuMPjl@twitter.com & its backend MathOptInterface.jl really help building new bricks on top of solvers.
SCIP.jl now supports indicator constraints: https://github.com/SCIP-Interfaces/SCIP.jl/pull/113
For those lucky ones going to @JuliaConOrg@twitter.com, we are publishing proceedings this year, get those papers ready 📝
Inspired by its Scala counterpart: https://aerodatablog.wordpress.com/2019/03/03/a-typedlist-in-scala
How far can you push the type information and compiler in #julialang? I'm playing with the idea of static lists in this post: https://matbesancon.github.io/post/2019-03-30-static-list/
Finally taking those long-due holidays to Italy, with two guardians limiting my daily working time #PhDchat
Math. optimization people often ask, why would I care about Julia?
Many reasons, including multiple dispatch which was the perfect tool for so-called big M & others, here is the post on that:
#MathOpt #JuliaLang #ORMS
PhD student, optimization and game theory for improving smart grids on the demand side. @ Polytechnique Montreal & INRIA Lille. Writing @ matbesancon.github.io
A Mastodon instance for maths people. The kind of people who make \(\pi z^2 \times a\) jokes.
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