Notebooks to Implement

[barpit20]

1. Introduction

• An Introduction to Julia
• Getting started with JuMP
• Variables, Constraints and Objective
• Solutions
• Solvers

2. Using JuMP

• Reading from Data files
• Problem Modification
• Nonlinear Modeling

3. Optimization Concepts

• Integer Programming
• Conic Programming
• Benders Decomposition

4. Modeling Examples (Currently a list of topics to pick examples from)

• Sudoku
• Power Systems
• Network Flows
• Statistics
• Approximation and Fitting
• Geometric Problems
• Control theory
• Graph Theory
• Economics/Econometrics
• Finance
• Rocket Control
• Travelling Salesman Problem

Note that this is a tentative list and some notebooks can be combined or split into two parts. Topics such as non-linear modelling, callbacks and column generation are ongoing dev efforts. Things are subject to change there and notebooks for them will only be created after they are finalized.

[Wikunia]

Regarding TSP I wrote: https://opensourc.es/blog/mip-tsp a while back.
It's without callbacks just a loop of solving + disallowing cycles. If this is of interest I can add a clean version of this here.

[matbesancon]

@Wikunia yes we might take it as a basis, I think it would be a good use case to introduce callbacks, pinging @mtanneau

[barpit20]

@Wikunia It would be great if you could add your tutorial here. I think it would be good to have both versions, with and without callbacks.

[jimorlin]

It would be really helpful to add a tutorial on plotting or graphing within Julia. It could be at the level of your tutorial on "reading data."

[AlessandroGaeta1]

Hi!
I wrote a Spacecraft Trajectory Optimizer with Avoidance Constraints program (in JuMP) using Mixed-Integer Linear programming, with at the end a simple plot of the solution.
Is there someone to contact to see if a tutorial about this topic might be useful?

[blegat]

Here is the right place, the contribution is welcome!

[odow]

Closing because I'm going to archive this repository.