Gurobi 9.0
Breakthrough new capabilities in Gurobi Optimizer, plus major new features for Gurobi Compute Server
- New Non-Convex Quadratic Optimization
- MIP - 18% Faster Overall
- Python Matrix API
- Piecewise-Linear Constraints
- New Compute Server Cluster Manager, UI & more
What is Mathematical Optimization?
Latest News and Events
A letter from our CEO to our commercial customers.
Robert Luce, Developer at Gurobi Optimization, will cover the new set of API functions within the Gurobi Python interface ("gurobipy") that support matrix-oriented modeling.
Watch this video to learn how Microsoft Research uses the Gurobi Optimizer to solve numerous large-scale optimization problems and find out about their experience working with Gurobi’s world-class team.
Juan Orozco Guzman, Optimization Support Engineer at Gurobi will host the second session in our webinar series developed to instruct Data Scientists on how to use mathematical optimization.
Learn about the breakthrough new capabilities for the Gurobi Optimizer, major new features for the Gurobi Compute Server, and notable performance improvements.
Optimization Impact
Source: FCC Advancing wireless communications, INFORMS.org
Source: Blue Yonder Case Study
Source: ICRON Vestel Case Study
Optimization has delivered significant ROI across industries from financial services, utilities, retail, logistics, telecommunications and more.
Operations Research Professional
Use Benchmarks to Find the Best Solver for Your Needs
What’s New – Current Release
Solving Simple Stochastic Optimization Problems with Gurobi
National Football League Scheduling
Computer Scientist
Mixed-Integer Programming (MIP) – A Primer on the Basics
Linear Programming (LP) – A Primer on the Basics
Building a Business Case for Optimization
The Gurobi Python Modeling and Development Environment
Data Scientist
Level 1 – Introduction for Data Scientists
Level 2 – Resources for Beginners
Level 3 – Resources for Intermediate Users
Level 4 – Resources for Advanced Users
Business Analyst
Building a Business Case for Optimization
How Optimization Modeling Creates Value for an Organization
Adding Optimization to Your Data Science Analytics Toolbox
Migrating from Excel-based planning tools to enterprise-ready optimization models and applications
Academic
Academia
Young Professionals License – Take Gurobi with You
Python I: Introduction to Modeling with Python
Six Life Lessons You Didn’t Learn From Your OR Program
Use Benchmarks to Find the Best Solver for Your Needs
What’s New – Current Release
Solving Simple Stochastic Optimization Problems with Gurobi
National Football League Scheduling
Mixed-Integer Programming (MIP) – A Primer on the Basics
Linear Programming (LP) – A Primer on the Basics
Building a Business Case for Optimization
The Gurobi Python Modeling and Development Environment
Level 1 – Introduction for Data Scientists
Level 2 – Resources for Beginners
Level 3 – Resources for Intermediate Users
Level 4 – Resources for Advanced Users
Building a Business Case for Optimization
How Optimization Modeling Creates Value for an Organization
Adding Optimization to Your Data Science Analytics Toolbox
Migrating from Excel-based planning tools to enterprise-ready optimization models and applications
Academia
Young Professionals License – Take Gurobi with You
Python I: Introduction to Modeling with Python
Six Life Lessons You Didn’t Learn From Your OR Program
A Few of Our Customers
How We Stack Up
| Gurobi | |
|---|---|
| Speed | Up to 50% faster than the closest competition |
| Robustness | Tested on a wide range of difficult problems from many industries |
| Support | Responsive PhD-Level Support with 4.6 out of 5 rating |
| Licensing | Flexible plans available |
| Upgrade Schedule | Frequent Upgrades |
| Free Tuning | Available |
Contact Us
We’re happy to assist you. Please contact us using this form, and a Gurobi representative will get back to you shortly.
- Free Consultations
- General Inquiries
- Gurobi Optimizer Questions
Can’t view the form? Please email us at sales@gurobi.com.