Ronald van der Velden

Summary: None of your input or mathematical model data are shared with us when using WLS. The only information shared, is to validate your license and uniquely identify your container/machine. Read...

Pyomo is one of the modeling frameworks that support Gurobi. In this article, we describe how to use Gurobi through Pyomo. For more information, or when you encounter Pyomo-related issues, please h...

Components and responsibilitiesIn any architecture involving Gurobi, we have three key responsibilities: Constructing mathematical models (and processing solutions) Solving these models Licensing W...

In previous articles we looked at Databricks concepts and architecture, as well as the various architecture and licensing options for using Gurobi on Databricks. In this article we will focus on ge...

In the context of Gurobi, we’re typically looking at (1) performance for solving a single model (2) performance when solving multiple models concurrently. In that context:Vertical scaling for a sin...

Mathematical optimization is a compute-intensive task. For this reason, the choice of (virtual) hardware is quite relevant as it may have an impact on the performance of your model and solver. Unfo...

This article introduces Databricks from a Gurobi perspective. We aim to explain high-level what the main concepts are and what the underlying architecture looks like. The goal is to understand wher...

In the previous article we gave a general introduction to Databricks concepts and architecture. Here we will look more specifically at the use of Gurobi on Databricks. For practical instructions on...

In some applications, it is desirable to redirect Gurobi's LOG messages to a specific logging framework instead of using logging files or stdout. There are many different logging frameworks availab...

In some long-running optimization jobs, it may be desired to interrupt the job based on conditions that may or may not depend on the state of the optimization job itself. While Gurobi provides call...