Tutorial: Mixed-Integer Linear Programming
Mixed-Integer Linear Programming Tutorial Overview
Chapter #1: Why Mixed-Integer Programming (MIP)
Chapter #2: Resource Assignment Problem
Chapter #3: Linear Programming Formulations
Chapter #4: Linear Programming Formulation With Gurobi Python API
Chapter #5: Jupyter Notebook #1 Resource Assignment Problem Formulation
Chapter #6: Perfect Formulation Resource Assignment Problem (RAP)
Chapter #7: Jupyter Notebook #2 Perfect Formulation Resource Assignment Problem
Chapter #8: Methods for Solving MIP Problems
Chapter #9: Approach 1 Branch And Bound Methods For Solving MIP Problems Part 1
Chapter #10: Approach 1 Branch And Bound Methods For Solving MIP Problems Part II
Chapter #11: Approach 2 Cutting Planes Methods For Solving MIP Problems
Chapter #12: Jupyter Notebook #3 - Why MIP Is Better than Simple Heuristics
Summary & Conclusion: Mixed Integer Linear Programming
To download the PDF of the Tutorial Slides, please click here.
To download the RAP Problem 001 Jupyter Notebook file please click here.
To download the RAP Problem 002 Jupyter Notebook file please click here.
To download the RAP Problem 003 Jupyter Notebook file please click here.
Request a Gurobi Evaluation License or Free Academic License
The RAP Problem is coded using the Gurobi Python API in Jupyter Notebook. In order to use the Jupyter Notebooks, you must have a Gurobi License. If you do not have a license, you can request an Evaluation License as a Commercial User or download a free license as an Academic User.