Visit our Booth 301 to:
Hear from Gurobi Presenters at INFORMS, including:
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, 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.Â
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 t-shirt. |
| 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: | TBD |
| 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: | TBD |
| 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.​ |
Academic Program Director
Academic Program Director
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.
Chief Technical Officer and Co-founder
Chief Technical Officer and Co-founder
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.
Technical Account Manager – Americas
Technical Account Manager – Americas
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.
Principal Developer
Principal Developer
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.
Senior Mathematical Optimization Specialist
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.
Optimization Engineer
Optimization Engineer
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.
Technical Account Manager – Americas
Technical Account Manager – Americas
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.
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