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Tata Steel On Track To Save Millions In Production Costs With Gurobi

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Airline Planning After Flight Disruption

Resources

Jupyter Notebook Modeling Examples

Learn how to build mathematical optimization models of real-world business, engineering, or scientific problems using Python.

Jump-Start Your Optimization Discovery

Explore our modeling examples below, access them via GitHub, or download the entire collection. You can also check out examples for other programming languages, or dive into our functional code. MIP developers: Be sure to check out ticdat.

Introductory: Tutorial Example

This tutorial assumes that you know Python and that you have a background in a discipline that uses quantitative methods.

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Beginner

These modeling examples assume you know Python and have some knowledge about building mathematical optimization models.

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Intermediate

These modeling examples assume that you have some knowledge about building mathematical optimization models. In addition, you should know Python and be familiar with the Gurobi Python API.

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Advanced

These modeling examples assume that you know Python and the Gurobi Python API and that you have advanced knowledge of building mathematical optimization models. Typically, the objective function and/or constraints of these examples are complex or require advanced features of the Gurobi Python API.

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Introductory

Airline Planning After Flight Disruption

Weather events are a major threat to the airline industry. This notebook walks through the optimization problem of deciding which flights to operate and which flights to cancel after a weather disruption.

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Introductory

Avocado Price Optimization

This example optimizes avocado prices to maximize revenue using a quadratic program. The relationship between price and demand is modeled using linear regression.

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Introductory

Diverse Music Recommendation System

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Introductory

Introduction To Mathematical Optimization Modeling

Learn the key components in the formulation of mixed-integer programming (MIP) problems. You will learn how to use the Gurobi Optimizer to compute an optimal solution of the MIP model.

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Introductory

Text Dissimilarity Using Linear Programming

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Burrito Optimization Game

Tata Steel On Track To Save Millions In Production Costs With Gurobi

Jupyter Notebook Modeling Examples