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Webinar Summary

Watch this webinar for an in-depth review of three Bilinear Programming Problems that are common across many industries. These problems include: Quadratic Programming Problems, Quadratic Assignment Problems, and Mixed Integer Quadratically Constrained Programming Problems. The presentation will provide practical examples for solving problems to maximize revenue and improve efficiencies.

Participants of this webinar will learn and discuss:

  • Implementation of the Bilinear Programming Problems formulation using the Gurobi Python API
  • Traditional linearization approaches to tackle Quadratic Assignment Problems and comparison with direct formulation without linearization
  • A tight formulation of the Pooling Problem

 

Meet the Experts

Dr. Pano Santos

Sr. Technical Content Manager at Gurobi Optimization

Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning in the services industry, supply chain planning, CRM, transportation and logistics, and operating room scheduling. Santos has a Bachelor’s degree in Applied Mathematics from the University of Mexico (UNAM), and Masters and PhD degrees in Operations Research from the University of Waterloo in Canada.

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