Get the Decision Optimization tutorial

If you're new to Decision Optimization, you can begin with an introductory tutorial. Two Jupyter notebooks available on the Decision Optimization GitHub help to introduce key concepts in Optimization. You can load these notebooks in your Watson Studio environment either by downloading them or referencing them by URL.

Linear Programming

This notebook introduces Linear Programming for the new user of Decision Optimization. It presents some definitions and some basic problems using the DOcplex Python Modeling API.

You can read the detailed description of this notebook here.

You can download or clone this notebook here.

Beyond Linear Programming

This notebook describes some special cases of linear programming and some techniques for non-linear programming. It builds upon the first notebook, again using the DOcplex Python Modeling API to explore some problems.

You can read the detailed description of this notebook here.

You can download or clone this notebook here.