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1. #OPTIMIZATION MODELS IN EXCEL SOLVER EXAMPLES HOW TO#
2. #OPTIMIZATION MODELS IN EXCEL SOLVER EXAMPLES CODE#

Using the standard diet problem to demonstrate the ticdat** package.Ī facility location problem that involves building warehouses to supply a certain number of supermarkets.Ī marketing campaign optimization problem common in the banking and financial services industry.Īllocate retailers to two divisions of a company in order to optimize the trade-offs of several market sharing goals. Utilizes supervised machine learning to predict basketball players fantasy scores from historical data and formulates an integer programming model to build the optimal lineupĪrrange X’s and O’s on a three-dimensional Tic-Tac-Toe board to minimize the number of completed lines or diagonals.Ī simple covering problem that builds a network of cell towers to provide signal coverage to the largest number of people possible.Ī problem of fitting a linear function to a set of observations is formulated as a linear programming problem.

#OPTIMIZATION MODELS IN EXCEL SOLVER EXAMPLES CODE#

However, if you’d like to dive directly into specific examples, visit our Functional Code Examples page here.Įxplore Our List of Examples to Find the Level That Is Right For YouĬreating the Optimal Fantasy Basketball Lineup We recommend that you begin by reading the overview of the examples (available here). If you are looking for examples for our C, C++, C#, Java, Visual Basic and Python, MATLAB® and R interfaces, the Gurobi distribution includes an extensive set of examples that illustrate commonly used features of the Gurobi libraries. The entire collection of examples can be downloaded using this link. You can also find the Jupyter Notebook examples on GitHub. Google Colab is a free, online Jupyter Notebook environment that allows you to write and execute Python code through your browser. You can access each Jupyter Notebook Modeling example in Google Colab via the links below, except where noted. No matter if you are a beginner, intermediate or an advanced user, these Gurobi Jupyter Notebook Modeling Examples will help you improve your optimization modeling skills using Python.Īccess the Examples Via Google Colab or GitHub Our selection contains examples from a wide variety of industries including manufacturing, financial services, energy and utilities, telecommunications, and oil & gas as well as examples that have relevance across various industries such as marketing campaign optimization and supply network design.

#OPTIMIZATION MODELS IN EXCEL SOLVER EXAMPLES HOW TO#

The Gurobi Jupyter Notebook Modeling Examples are based on real-world use cases and problems discussed in the fifth edition of Model Building in Mathematical Programming, by H.Paul Williams – an excellent educational resource for those interested in learning how to model. Explain the important features of the Gurobi Python API modeling objects such as adding decision variables, constraints, and an objective function, and building linear expressions.