Gurobi Connect Brazil
May 9, 2024

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. 

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. 

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. 

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. 

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.