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:

• Linear Programming discovery
• Beyond Linear Programming

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

Get your IBM® ILOG CPLEX Optimization Studio edition

• 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.

License

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