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

These notebooks are part of Prescriptive Analytics for Python

They require either an installation of CPLEX Optimizers or they can be run on IBM Cloud Pak for Data as a Service (Sign up for a free IBM Cloud account and you can start using IBM Cloud Pak for Data as a Service right away).

CPLEX is available on IBM Cloud Pack for Data and IBM Cloud Pak for Data as a Service:

• IBM Cloud Pak for Data as a Service: Depends on the runtime used:
  • Python 3.x runtime: Community edition
  • Python 3.x + DO runtime: full edition
• Cloud Pack for Data: Community edition is installed by default. Please install the DO addon in Watson Studio Premium for the full edition

Additionnaly, you can download installation of CPLEX Optimizers:

• 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).