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Webinar Summary

In this webinar, Dr. Ed Klotz, Gurobi’s Senior Mathematical Optimization Specialist, will explore models with products of binary variables.

Numerous Integer Programming formulations exist involving products of binary variables. In some cases they arise naturally from the formulation, while in other cases they are created by model reformulations.

In this webinar, you will learn:

  • Which strategies can improve performance on MILPs, including solver parameter settings.
  • How to tighten existing formulations.
  • How to reformulate to improve performance.

Practitioners who don’t explicitly solve MILP models with products of binaries may still benefit from this presentation, as a significant number of conditions explicitly modeled as linear constraints actually have products of binaries in disguise, including soft knapsack constraints, overlap constraints and some logical conditions in satisfiability problems. Therefore understanding techniques that can help performance on models with products of binaries can improve performance on some MILPs as well.

Presented Materials

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Meet the Experts

Dr. Ed Klotz

Senior Mathematical Optimization Specialist

Dr. Ed Klotz has nearly 30 years of experience in the mathematical optimization software industry. He is a technical expert who, over the course of his career, has worked with a wide array of customers to help them solve some of world’s most challenging mathematical optimization problems. In his role as a Senior Mathematical Optimization Specialist on the Gurobi R&D team, Dr. Klotz works closely with our customers to support them in implementing and utilizing mathematical optimization in their organizations.

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