Using Gurobi to Optimize Distributed Energy Storage Assets
This 40-minute recording will focus on how AMS integrates Gurobi into their software solutions.
Parallel and Distributed Optimization with Gurobi
This 30 minute webinar introduces Gurobi’s capabilities relating to parallel and distributed optimization.
Using Gurobi and Anaconda Together
Easily develop optimization models and turn them into powerful Python applications using Gurobi and Anaconda.
Python III: Optimization and Heuristics
The Gurobi Python interface combines the ease and expressiveness of a modeling language with the power and flexibility of a programming language. This part three of a three-part series builds on the ideas presented in our Python I and Python II webinars.
Python II: Advanced Algebraic Modeling with Python and Gurobi
The Gurobi Python interface combines the ease and expressiveness of a modeling language with the power and flexibility of a programming language. This part two of a three-part series builds on the ideas presented in our Python I webinar.
Python I: Introduction to Modeling with Python
Python is a powerful and well-supported programming language that’s also a good choice for mathematical modeling. It has special features that make it easy to build and maintain optimization models.
Modeling With the Gurobi Python Interface
This 50 minute tutorial illustrates the modeling features of the Gurobi Python interface.
Gurobi Python Interface: Matrix-friendly Modeling Techniques
Watch this 30-minute video to learn about a new set of API functions within the Gurobi Python interface (“gurobipy”) that support matrix-oriented modeling.
Tech Talk & Chat– Converting Weak to Strong MIP Formulations, Part II
Watch Part 2 of this Tech Talk on converting weak to strong MIP formulations.
Tech Talk & Chat– Converting Weak to Strong MIP Formulations
Watch this Tech Talk on converting weak to strong MIP formulations. Key members of the Gurobi team will distinguish weak formulations from strong ones, from the perspective of the models and associated physical systems rather than the underlying theory.
