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Webinar Summary

Have you ever wondered what it takes to build a non-convex solver? And how different approaches impact the solution that is outputted? Go on a practical tour through non-convex optimization, hands-on code examples will be used to:

  • Show the basic workings of a non-convex solver
  • Discuss both the advantages and disadvantages of a non-convex optimizer

Presented Materials

Download the materials here.

Meet the Experts

Dr. Richard Oberdieck

Technical Account Manager – EMEAI

Dr. Richard Oberdieck is a Technical Account Manager at Gurobi Optimization. He obtained his BSc and MSc degrees from ETH Zurich in Switzerland (2009-2013), before pursuing a Ph.D. in Chemical Engineering at Imperial College London, UK, which he completed in 2017. In his PhD, he worked on a special class of optimization problems called multi-parametric programming problems, where he discovered fundamental new properties related to these problems, as well as implemented them in a software toolbox.

Dr. Kostja Siefen

Director Technical Account Management

Kostja holds a Ph.D. in Operations Research from the University of Paderborn (Germany). He joined Gurobi in 2015 after many years of experience in the development and design of decision support systems using mathematical optimization. Before joining Gurobi he worked at Daimler Research & Development and as a lecturer at the University of Paderborn. Since 1998, before focusing on optimization and during his studies he continuously worked as system administrator, software developer and support engineer for an IT service company.

Dr. Jaromił Najman

Software Developer

Jaromił Najman obtained his M.Sc. in Mathematics at RWTH Aachen University. He did his Ph.D. at the Institute for Process Systems Engineering (AVT.SVT) in Aachen in nonlinear programming, in particular deterministic global optimization.

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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