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April 23, 2026 at 11AM ET | 5PM CET

Mixed-integer nonlinear programming (MINLP) continues to play a critical role in solving real-world decision problems, and has been a major focus of Gurobi’s research and development efforts in recent years. 

With the release of Gurobi 13.0, we’ve made significant advances in our MINLP solver, introducing new algorithms and significant performance improvements designed to help users solve a broader range of MINLP problems. 

To learn more about these enhancements, join our upcoming webinar: 

Mixed-Integer Nonlinear Optimization in Gurobi 13.0
Date: April 23, 2026
Time: 11:00 a.m. EST / 5:00 p.m. CEST
Speaker: Pierre Bonami, Principal Developer, Gurobi 

We’ll cover: 

  • How Gurobi approaches different classes of MINLP problems 
  • Our new barrier algorithm implementation for nonlinear optimization  
  • Key algorithmic and performance enhancements, and what they mean in practice 

This session will provide a clear, developer-level look at what’s new with MINLP in Gurobi 13.0, and how you can start taking advantage of these developments in your optimization workflows. 

Register Now

Meet the Experts

View Bio

Dr. Pierre Bonami

Principal Developer
Gurobi Optimization

Dr. Pierre Bonami

Principal Developer
Gurobi Optimization

Pierre Bonami holds a Ph.D. in Operations Research and Computer Science from University Paris 6. Prior to joining Gurobi he was one of the lead developers for CPLEX (2013-2020). Prior to that, he was a researcher for CNRS in Marseille University. He was also a postdoctoral fellow at Carnegie Mellon University and at IBM Research where he developed the open-source solver Bonmin. Pierre Bonami authored or co-authored more than 20 publications in top journals and conferences in the field of Mathematical Optimization. He is particularly well known for his work on Mixed-Integer Nonlinear Optimization and cutting planes for Mixed Integer Optimization.

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