As part of MIT's Optimization Methods, I am working on a few real-world based linear optimization projects usint JuMP and Gurobi.
So far the projects published here include:
- Network Flow Optimization - optimizing job allocations for a cloud computing provider
- Mixed-Integer Optimization - optimizing a waste management system for two fictional towns to minimize environmental impact and cost
- Optimization Under Uncertainty
- Nonlinear Optimization - Gradient Descent, Stochastic Gradient Descent, and Newton's Method
The work published here is my own, unless otherwise noted. I have recieved premission from my instructors to share my code.
Feel free to reach out about any questions!