Upcoming:

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Webinars 

Using the Automatic Parameter Tuning Tool

This 17 minute video seminar explains the importance of parameters and how to use the Automatic Parameter Tuning Tool to help you maximize Gurobi’s performance.

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Webinars 

Non-Convex Quadratic Optimization

With the release of Gurobi 9.0’s addition of a new bilinear solver, the Gurobi Optimizer now supports non-convex quadratic optimization. This groundbreaking new capability allows users to solve problems with non-convex quadratic constraints and objectives – enabling them to find globally optimal solutions to classic bilinear pooling and blending problems and continuous manufacturing problems.

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Webinars 

New Directions for Optimization

In this video, learn about the motivation for some of the recent features added to the Gurobi Optimizer as well as recent developments in the field and how they are influencing our thinking on potential future directions.

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Webinars: September 22 , 2022

Increase Your Organization’s Capability to Deliver

Cutting costs while being more responsive to the market is becoming a challenge. How to achieve those minimizing inefficiencies throughout the supply chain? Non-integrated manufacturing and distribution processes and poor relations with Suppliers and Customers are a sure recipe for failure.

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Webinars 

How Birchbox Transformed Its Operations With Mathematical Optimization

Discover how e-commerce company Birchbox uses mathematical optimization.

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Webinars 

Advanced Methods for Optimal Scheduling Using Gurobi

Scheduling problems arise in a wide range of applications, and solving large-scale problems efficiently can require expert knowledge and insights. In this 40-minute recording, we’ll cover advanced methods for efficiently solving large and complex scheduling problems.

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Webinars 

Getting Started with Gurobi, Part 1 of 3

An introduction to math programming and building a model to use with Gurobi.

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Webinars 

Products of Variables in Mixed Integer Programming

Products of problem variables appear naturally in quadratic programs. Special preprocessing, linearization and cutting plane techniques are available to deal with such products. If at least one of the two variables in a product is binary, then the product can be modeled using a set of linear constraints. As a consequence, there are many mixed integer linear programs (MILPs) that actually contain products of variables hidden in their constraint structure. Rediscovering these product relationships between the variables enables us to exploit the solving techniques for product terms.

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Webinars 

COVID-19 Hospital Capacity Management using Mathematical Models

In this webinar Assistant Professor Kimia Ghobadi, Department of Civil and Systems Engineering at Johns Hopkins University, discusses the mathematical models her team developed to match COVID-19 demand with available resources in a network of hospitals through patient transfer.

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What's
New at Gurobi

News
Gurobi 10.0 Delivers Blazing-Fast Speed, Innovative Data Science Integration, and an Enterprise Development and Deployment Experience
Latest release enables data professionals to easily integrate machine learning models into optimization models to solve new types of problems.
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Event
Webinar: What’s New in Gurobi 10.0
In this webinar, attendees will get a first look at our upcoming product release, Gurobi 10.0. We will summarize the performance improvements and highlight some of the underlying algorithmic advances, such as the network simplex algorithm, enhancements in concurrent LP, and optimization based bound tightening.
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new content
Cost Savings & Business Benefits for Gurobi Customers
2022 Total Economic Impact™ Study Reveals A 518% ROI with Gurobi
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