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Jupyter Model

Supply Network Design

Try this Jupyter Notebook Modeling Example to learn how to solve a classic supply network design problem that involves finding the minimum cost flow through a network. We'll show you how – given a set of factories, depots, and customers – you can use mathematical optimization to determine the best way to satisfy customer demand while minimizing shipping costs. 

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Jupyter Model

Offshore Wind Farming

In this example, you'll learn how to solve an offshore wind power generation problem. The goal of the problem is to figure out which underwater cables should be laid to connect an offshore wind farm power network at a minimum cost. We'll show you how to formulate a mixed-integer programming (MIP) model of this problem using the Gurobi Python API and then find an optimal solution to the problem using the Gurobi Optimizer.

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Jupyter Model

Market Sharing

In this example, we'll show you how to solve a goal programming problem that involves allocating the retailers to two divisions of a company in order to optimize the trade-offs of several market sharing goals. You'll learn how to create a mixed integer linear programming model of the problem using the Gurobi Python API and how to find an optimal solution to the problem using the Gurobi Optimizer.

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Jupyter Model

Marketing Campaign Optimization

Companies across almost every industry are looking to optimize their marketing campaigns. In this Jupyter Notebook, we'll explore a marketing campaign optimization problem that is common in the banking and financial services industry, which involves determining which products to offer to individual customers in order to maximize total expected profit while satisfying various business constraints. You'll learn how to formulate a mathematical optimization model of the problem (using machine learning predictive response models as parameters) and solve it using the Gurobi Optimizer.

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Jupyter Model

Facility Location Problem

Facility location problems can be commonly found in many industries, including logistics and telecommunications. In this example, we'll show you how to tackle a facility location problem that involves determining the number and location of warehouses that are needed to supply a group of supermarkets. We'll demonstrate how to construct a mixed-integer programming (MIP) model of this problem, implement this model in the Gurobi Python API, and then use the Gurobi Optimizer to find an optimal solution.

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Jupyter Model

Curve Fitting

Try this Jupyter Notebook Modeling Example to learn how you can fit a function to a set of observations. We will formulate this regression problem as a linear programming problem using the Gurobi Python API and then solve it with the Gurobi Optimizer.

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Jupyter Model

Logic Programming – 3D Tic-Tac-Toe

Try this logic programming example to learn how to solve the problem of arranging X's and O's on a three-dimensional Tic-Tac-Toe board so as to minimize the number of completed lines or diagonals. This example will show you how a binary programming model can be used to capture simple logical constraints.

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Jupyter Model

Combining Machine Learning and Optimization Modeling in Fantasy Basketball

Fantasy sports has turned into a mainstream activity over the last ten to twenty years with leagues now working with popular fantasy sports sites as official partners. If you’re not familiar with fantasy sports, the goal is to select players from a slate of real games to fill out a virtual lineup.

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Jupyter Model

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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Jupyter Model

Cell Tower Coverage Problem

A simple covering problem that builds a network of cell towers to provide signal coverage to the largest number of people possible.

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Case Study

Air France: Tail Assignment Optimization

See how Air France estimates they are saving around 1% of the fuel costs with huge volumes for the entire fleet.

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Case Study

Advanced Microgrid Solutions: Reducing Customer Electric Bills

See how AMS utilizes Gurobi to efficiently allocate power within their analytics platform, taking under consideration forecast demand, physical, and economic constraints.

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