Webinars
Our online events help you take your optimization skills to the next level.
Solving Bilinear Programming Problems
Watch this webinar to learn about practical examples for solving problems to maximize revenue and improve efficiencies.
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Tips and Tricks for Optimal Scheduling Using Gurobi
40-minute webinar with End-to-End Analytics to learn useful tips and tricks on how to solve optimal scheduling problems in Gurobi
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Best Practices for Network Design Modeling
Watch the video and learn, different types of network design problems, how to formulate network design optimization models, scenario analysis for network design and other tips and tricks that you can use right now.
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Using Gurobi to Optimize Distributed Energy Storage Assets
This 40-minute recording will focus on how AMS integrates Gurobi into their software solutions.
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Engineering The Perfect Quantum Strategy
Uncover the power of mathematical optimization in the advancement of quantum computing.
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Fireside Chat with Mike North, VP of Broadcast Planning & Scheduling for the NFL
In this fireside chat, Mike North, VP of Broadcast Planning and Scheduling at the NFL and Greg Glockner, VP of Engineering at Gurobi Optimization, discuss how they used mathematical optimization to create the 2019 schedule and some issues and constraints the NFL is facing with the 2020 schedule.
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Using MIP to Model Midstream Energy Assets
This webinar is centered around how East Daley Capital integrates Gurobi into their models. It will cover the business case from a high level, problem formulation as a Mixed Integer Program using Gurobi’s Python API, and the use of Gurobi features to assist in model development.
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Gurobi QCP and SOCP Optimizer Overview
This 50 minute video covers our new QCP and SOCP optimizer for solving quadratically-constrainted models with Gurobi. This new capability is built on top of an efficient Second-Order Cone Programming (SOCP) solver. This seminar will discuss the design choices we made in building this new optimizer, and the impact of these choices on overall performance and robustness.
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Avoiding Numerical Issues in Optimization Models
Models with numerical issues can lead to undesirable results: slow performance, wrong answers or inconsistent behavior.
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Where Data Meets Decisions: Part 1
Ever wonder how avocado pricing impacts buyers’ decisions? Or how you can discover lesser-known artists in your daily music playlists? Or how to assemble the ideal fantasy basketball team?
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