User guide for the FICO Xpress Optimizer Python interface, covering installation, modeling, callbacks, and reference methods.
This manual provides instructions for using the Python interface of FICO’s Xpress Optimizer. It covers installing the module, modeling optimization problems, using Python numerical libraries, controls, attributes, callbacks, and examples. The reference section details methods for problem manipulation, branching, and callbacks. The document is intended for developers and users who want to integrate Xpress Optimizer into Python applications.
You can use NumPy in the Xpress Python interface.
The last update date is 3 June 2017.
The deliverable version is A.
FICO Xpress Optimizer Python Interface User’s Manual.