IBM® Decision Optimization Tutorials for Python (DOcplex)

Welcome to the IBM® Decision Optimization Tutorials. Licensed under the Apache License v2.0.

With these tutorials, you will learn the concepts of Mathematical Optimization.

This library is composed of 2 Jupyter notebooks:

You just need to import them in a Jupyter Notebook environment.

To be able to run those notebooks successfully, you will need to have any of the following options:

be in IBM DataScience Experience Desktop or Local editions.
be in IBM DataScience Experience Cloud edition with a subscription to IBM Decision Optimization on Cloud service (30 days free offer available)
be on your machine with an installation CPLEX Optimization Studio
be on your machine with a subscription to IBM Decision Optimization on Cloud service (30 days free offer available)

Get your IBM® Decision Optimization on Cloud API key

Optionally, you can run your optimization in the cloud with the IBM Decision Optimization on Cloud service.

Register for the DOcplexcloud free trial and use it free for 30 days. See Free trial.
Get your API key With your free trial, you can generate a key to access the DOcplexcloud API. Visit the Get API key & base URL page to generate the key once you've registered. This page also contains the base URL you must use for DOcplexcloud.
Copy/paste your API key and service URL where appropriate in the examples to be able to run them, or have a look at Setting up an optimization engine section of the documentation

You can get a free Community Edition of CPLEX Optimization Studio, with limited solving capabilities in term of problem size.
Faculty members, research professionals at accredited institutions can get access to an unlimited version of CPLEX through the IBM® Academic Initiative.

This library is delivered under the Apache License Version 2.0, January 2004 (see LICENSE.txt).