Free Trial

Join us at the INFORMS Annual Meeting

Visit our Booth 301 to:

  • Learn about the new features and performance enhancements in the Gurobi Optimizer 11.0.
  • Chat with our optimization experts.
  • Play The Burrito Optimization Game, learn about Gurobi Data Science and try out our new OptiMods.
  • Pick up your I Love Gurobi or Burrito Optimization Game T-shirt or socks, while supplies last.

 

Hear from Gurobi Presenters at INFORMS, including:

  • Dr. Zonghao Gu, Chief Technology Officer and Co-Founder of Gurobi Optimization
  • Dr. Ed Klotz, Senior Mathematical Optimization Specialist
  • Dr. Robert Luce, Principal Developer
  • Dr. Dan Steffy, Optimization Engineer
  • Dr. Rodrigo Fuentes, Technical Account Manager
  • Dr. Cara Touretzky, Technical Account Manager
  • Lindsay Montanari, Academic Program Director

 

Our Gurobi Pre-Conference Workshop on Saturday, October 14th will include an introduction to Gurobi 11.0, OptiMods, and a live panel discussion. Check out all of the sessions where you can find Gurobi team members presenting at INFORMS below!

 

Gurobi Technology Workshop
Session: Pre-Conference Technology Workshop
Presenters: Dr. Zonghao Gu, Dr. Ed Klotz, Dr. Rodrigo Fuentes, Dr. Dan Steffy, and Lindsay Montanari
Location: Room 126B
Time: 4:00pm – 6:30pm
Date: Saturday, October 14
Regardless of whether you are an experienced mathematical optimization practitioner, a newcomer interested in better understanding the potential of mathematical optimization in your organization, or somewhere in between, this workshop has something for you. 

Attendees will get a first look at our latest product release, Gurobi 11.0—including exciting performance improvements to Gurobi’s core algorithms and additional support for nonlinear functions. The latter includes direct support of general nonlinear functions beyond the piecewise linear approximations provided in previous versions. The workshop will also include an interactive panel discussion “From skepticism to success: Getting buy-in for optimization projects” with optimization experts across academia, industries, and Gurobi.  

The Gurobi team will also be presenting a live demo of OptiMods, an open-source project that provides Python users with high-level access to optimization capabilities. Developed by the Gurobi Tech teams, the project aims to put optimization in the hands of more people—especially those without prior knowledge of optimization and mathematical modeling.  While primarily intended for newcomers, experienced optimization practitioners may gain insights on obtaining acceptance of optimization-based solutions. 

All Workshop attendees will receive a free Gurobi 11.0 t-shirt and be entered into a drawing to win Apple AirPods Pro.

 

Gurobi Session
Session: Thinning the Herd of Open and Hard MIPLIB Models
Presenter: Dr. Ed Klotz
Location: CC-North 221C
Time: 2:15pm – 3:30pm
Date: Sunday, October 15
The MIPLIB Mixed Integer Programming Library classifies its models as easy (green), hard (yellow), or open (red). This talk will consider one or two MIPs that are open or take days to solve and show how to solve them to optimality. Tactics used include visualization of the underlying process being modeled to discover useful reformulations, customized cuts to tighten the formulation, and solver parameter tuning.
Gurobi Tutorial
Session: Spatial Branch and Bound Support for General Nonlinear Functions in Gurobi 11.0​
Presenters: Dr. Ed Klotz​, Senior Mathematical Optimization Specialist, Gurobi Optimization
Location: CC-North 120D
Time: 8:40am – 9:15am
Date: Monday, October 16

In this tutorial, attendees will get a first look at the additional support for nonlinear functions available in Gurobi 11.0. Previous versions of Gurobi supported a set of frequently used general nonlinear functions through piecewise linear approximation. Gurobi 11.0 extends the spatial branch and bound algorithm that supported nonconvex quadratic constraints and objectives starting with version 9.0 to handle more general nonlinear constraints and objectives, including higher degree polynomial, logarithmic, exponential and trigonometric functions.  This tutorial will discuss how to extend the McCormick relaxation used in the spatial branch and bound to these more general nonlinear functions, and the resulting implications regarding how to get good performance.​

 

Gurobi Session
Session: New Performance Techniques in the Gurobi Optimizers
Presenters: Dr. Zonghao Gu, Dr. Ed Klotz
Location: CC-North 222C
Time: 10:45am – 12:00pm
Date: Monday, October 16
This talk will discuss various new techniques or ideas to improve the performance to solve linear programs, mixed integer programs, quadratic programs and nonlinear mixed integer programs.

 

Gurobi Tutorial
Session: Intro to Optimization through the Lens of Data Science – New Gurobi Course Preview
Presenters: Lindsay Montanari, Academic Program Director, Gurobi Optimization, and Dr. Joel Sokol, Georgia Institute of Technology
Location: CC-North 120D
Time: 8:40am – 9:15am
Date: Tuesday, October 17

Dr. Joel Sokol, with the help of technical team members and experts from Gurobi, has been hard at work developing a new online course introducing optimization through the lens of data science that will be released in late fall 2023! This free course was developed to help teach trained data scientists how to add optimization to their toolbox, and when to use it in their advanced problem solving. We will cover a comprehensive introduction to optimization, how to translate real life problems into optimization, and when optimization is the best tool to solve a problem.​

In the course, Dr. Sokol introduces learners to world class tools to help them problem solve and provides everything from basic hands-on exercises to more advanced full real-world use cases to reinforce all new concepts of prescriptive analytics as you learn them. We are looking forward giving you the first preview of what this course includes, how to access it once released, and a look into a new way of teaching mathematical optimization to data science learners with expertise from Dr. Joel Sokol and the team of PhD experts from Gurobi Optimization who helped him develop this comprehensive introduction to mathematical optimization.
Gurobi Session
Session: Model Building with Gurobipy–Pandas
Presenter: Dr. Robert Luce, Principal Developer, Gurobi Optimization
Location: CC-North 231B
Time: 10:45am – 12:00pm
Date: Tuesday, October 17
Gurobipy-pandas is a Python project that allows you to connect pandas with gurobipy. It enables you to easily and efficiently build mathematical optimization models from data stored in DataFrames and Series, and to read solutions back directly as pandas objects. We will walk through the basic API and discuss best practice model building patterns.​

Meet the Experts

View Bio

Dr. Cara Touretzky

Technical Account Manager – Americas
Gurobi Optimization

Dr. Cara Touretzky

Technical Account Manager – Americas
Gurobi Optimization

Dr. Cara Touretzky holds a BChE from University of Delaware and PhD in Chemical Engineering from The University of Texas at Austin. During her graduate work she studied dynamic optimization and model-based process control, with applications ranging from HVAC system automation to production scheduling for chemical processes. Prior to Gurobi she worked as an Application Engineer for ExxonMobil managing nonlinear controller deployments for plastic plants in the gulf coast. Cara participates in several organizations including INFORMS, IEEE, and AIChE, where she has served as a program director for the process control division.

View Bio

Dr. Ed Klotz

Senior Mathematical Optimization Specialist
Gurobi Optimization

Dr. Ed Klotz

Senior Mathematical Optimization Specialist
Gurobi Optimization

Dr. Ed Klotz has over 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. He also interacts heavily with the R&D team based on his experiences with the customers.

Prior to joining Gurobi, Dr. Klotz was a member of the CPLEX development team of IBM. He was involved in product development, customer training, product documentation, and numerous other tasks, with a primary focus on delivering CPLEX customer support and leveraging his experiences with customers to help inform the R&D team about customer needs and product improvements. Dr. Klotz has extensive knowledge in linear programming, integer programming, and numerical linear algebra for finite precision computing. Using this knowledge, he was able to investigate customer support issues at the source code level and identify potential improvements in CPLEX, both in terms of performance and accuracy of computation.

Before joining IBM, Dr. Klotz was a principal technical support engineer at ILOG, Inc., and a mathematical programming specialist at CPLEX Optimization, Inc.

Dr. Klotz has presented at numerous conferences, workshops, and web seminars and published numerous papers on mathematical optimization. His interests are in all aspects of mathematical programming, with a primary interest in research that can impact mathematical programming software. He obtained a BA in Math and Economics from Oberlin College and a PhD in Operations Research from Stanford University.

View Bio

Dr. Zonghao Gu

Chief Technical Officer and Co-founder
Gurobi Optimization

Dr. Zonghao Gu

Chief Technical Officer and Co-founder
Gurobi Optimization

Dr. Zonghao Gu has a B. Eng. in Mechanical Engineering and an M. Eng. in Industrial Management from Tongji University, Shanghai. He has a PhD in Industrial Engineering from the Georgia Institute of Technology. Dr. Gu has published several papers on the computational aspects of mathematical programming. He is one of the world’s leading experts on the computational aspects of linear, integer, and quadratic programming, and is particularly well known for his deep understanding of cutting planes and their application to the solution of general mixed-integer programs. Dr. Gu worked from 1995 to 1998 as an optimization software developer for LINDO Systems, Inc., before joining the ILOG CPLEX R&D team in 1998 as a senior software developer and later as a Distinguished Scientist. From 2005 to 2008 he was Project Architect for the CPLEX R&D team and was the lead developer for CPLEX 11. He was responsible for the implementation of the CPLEX QP simplex and MIQP solvers, had primary responsibility for the presolve and cutting plane routines, and made various contributions to the CPLEX LP simplex solver.

View Bio

Dr. Dan Steffy

Optimization Engineer
Gurobi Optimization

Dr. Dan Steffy

Optimization Engineer
Gurobi Optimization

Dr. Steffy received his PhD in Algorithms, Combinatorics and Optimization from the Georgia Institute of Technology. He has published many papers in scientific journals, including work on computing numerically exact solutions to linear and integer programming problems. Prior to joining Gurobi in 2022 he was an Associate Professor of Mathematics at Oakland University. He also spent time working as a researcher at the Zuse Institute Berlin. In his free time he loves being outdoors, playing board games and spending time with his wife and two daughters.

View Bio

Lindsay Montanari

Academic Program Director
Gurobi Optimization

Lindsay Montanari

Academic Program Director
Gurobi Optimization

Lindsay brings over 13 years of experience working at the intersection of technology and education. Prior to Gurobi, Lindsay worked as an Operations leader at Opex Analytics, a product and services firm dedicated to solving complex business problems using the power of Artificial Intelligence. While there, she focused on growth and business development, product launch, and marketing. Lindsay spent 10 years working in various leadership capacities at Universities including Columbia University, Northwestern University, and the University of Chicago. From 2013 to 2017, she worked to establish and grow the Master of Science in Analytics degree at Northwestern University’s School of Engineering, the program was one of the earliest MS degrees focused on an applied data science curriculum. During her time with Northwestern, she managed external relations and corporate relations, helped hire and onboard new faculty and subject-matter experts in various disciplines of analytics, directed recruiting efforts/admissions/student advising, and managed a team of administrative professionals. Prior to Northwestern, she spent over 5 years working in Advancement at Columbia University’s School of Engineering and Applied Science.   She completed her Bachelor’s Degree in English and Fine Art at Sewanee: The University of the South and her Master’s Degree in Nonprofit Management at Columbia University.

View Bio

Dr. Rodrigo Fuentes

Senior Technical Account Manager
Gurobi Optimization

Dr. Rodrigo Fuentes

Senior Technical Account Manager
Gurobi Optimization

Dr. Rodrigo Fuentes joined Gurobi in 2020 as a technical account manager. He completed his PhD in Electrical and Computer Engineering at the University of Waterloo, Canada, where his research work was focused on using different optimization techniques applied to the optimal use of hydro and thermal units. Prior to joining Gurobi he worked as a software engineer in various technical roles for Open Systems International, Open Access Technology International and Siemens, which serve electric, gas and oil utility businesses, exposing him to different and interesting optimization problems.
Rodrigo enjoys spending his free time with his wife, cooking, biking and playing soccer.

View Bio

Dr. Robert Luce

Principal Developer
Gurobi Optimization

Dr. Robert Luce

Principal Developer
Gurobi Optimization

Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.

GUROBI NEWSLETTER

Latest news and releases

Subscribe
Linkedin Youtube Rss
Also of Interest:
Legal Notices:    Standard EULA   |    Cloud EULA    |   AMPL EULA   |   Cloud SLA   |   WLS SLA
Language:      EN   |   JP
Cookie Settings     |     Privacy Policy     |     Accessibility Statement     |     © Gurobi Optimization, LLC. All Rights Reserved.

Try Gurobi for Free

Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.

Evaluation License
Get a free, full-featured license of the Gurobi Optimizer to experience the performance, support, benchmarking and tuning services we provide as part of our product offering.
Get Free Trial!
Academic License
Gurobi supports the teaching and use of optimization within academic institutions. We offer free, full-featured copies of Gurobi for use in class, and for research.
Get Free Trial!
Cloud Trial

Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.

Get Free Trial!

Search

Looking for documentation?

Gurobi Optimization

RSS Feeds

News
Copy to Clipboard
Events
Copy to Clipboard
Resources
Copy to Clipboard
Jupyter Models
Copy to Clipboard
Case Studies
Copy to Clipboard
FAQs
Copy to Clipboard
Industries
Copy to Clipboard
Features
Copy to Clipboard