JuliaCon 2020

Here I will describe a bit about conic programming on Julia based on Juan Pablo Vielma’s JuliaCon 2020 talk and JuMP devs Tutorials. We will begin by defining what is a cone and how to model them on JuMP together with some simple examples, by the end we will solve an mixed - integer conic problem of avoiding obstacles by following a polynomial trajectory.

Here is what I’ve learned from the WorkShop Doing Scientific Machine Learning (SciML) With Julia from Chris Rackauckas. There is also an MIT course and Workshop exercises (with solutions) by the same author about this subject that I’ve been checking out and strongly recomend.

An overview of what I've learned from the workshop