We’re thrilled to be hosting an exclusive, free in-person event that promises to be a powerhouse of learning, sharing, and networking. Whether you’re a seasoned Gurobi user or just curious about what optimization can do for you, this event is your gateway to a world of possibilities.
Presentation topics include What's New in Gurobi 11.0, Gurobi Data Integration, Non-Linear Integer Problems, and Gurobi Machine Learning!
May 9th Gurobi Connect Agenda
9:00 AM
Welcome & Introductions
9:30 AM
Gurobi Highlights
Join us as we explore the latest advancements and little-known features in Gurobi optimizer. Gain insights into the latest and most significant of these features and understand how Gurobi’s decision intelligence technology shapes the future of business problem-solving. Whether you’re a seasoned professional or new to the field, this session will equip you with the knowledge to leverage Gurobi's powerful tools for optimal decision-making.
10:30 AM
15 minute break
10:45 AM
Gurobi Data Integration
Intuitive modelling and easy data integration are essential for integrating optimization into data analytics solutions. In addition to algebraic terms, Gurobi has two intuitive modeling approaches: matrix-based and Dataframe-based. It includes a new set of API functions within the Gurobi Python interface that supports matrix- and dataframe-oriented modeling. These new API functions greatly improve and simplify the process of building optimization models.
11:30 AM
Discussion: Modeling
12:00 PM
Lunch
1:00 PM
Non-Linear Integer Problems
Gurobi 11 provides a new algorithm to solve nonlinear, mixed integer problems. This session will walk through an a Mixed-Integer example that also contains Non-Linear expressions. Gurobi provides two ways to solve these types of problems. This session will cover both -- showing how and when to use each one. It will also include a brief discussion of the new MINLP algorithm in Gurobi 11.
1:30 PM
Gurobi Machine Learning
Gurobi is simplifying the process of connecting your predictive models to your optimization problem. Gurobi Machine Learning is a Python package enables users to include trained machine learning regressors (e.g., from scikit-learn, TensorFlow/Keras, or PyTorch) as a constraint in a Gurobi model. This way, they can achieve better integration between trained predictions and optimal decision-making.
This tutorial will explain the Gurobi Machine Learning package and its role in an optimization application.
2:15 PM
15 minute break
2:30 PM
Gurobi in Containers
For Docker architectures, Gurobi provides images on Docker Hub. There is one for python programmers, one for all other Gurobi API’s (C, C++, Java, .Net, etc.), and two for Gurobi Compute Server. This session describes each of these and demonstrates how to use them.
3:00 PM
Discussion: Gurobi Features
3:30 PM
Q&A & Wrap up
Name: Gurobi Connect São Paulo
Date: Thursday, May 9, 2024
Time: 9:00 AM – 4:00 PM
Location: Grand Hyatt São Paulo
Av. Das Nações Unidas, 13.301 - São Paulo, SP 04578-000, Brazil
If you are interested in this event or have questions, please reach out to Manuel Rassi, Gurobi Account Director - LATAM, at rassi@gurobi.com.
