Using the Automatic Parameter Tuning Tool
This 17 minute video seminar explains the importance of parameters and how to use the Automatic Parameter Tuning Tool to help you maximize Gurobi’s performance.
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Non-Convex Quadratic Optimization
With the release of Gurobi 9.0’s addition of a new bilinear solver, the Gurobi Optimizer now supports non-convex quadratic optimization. This groundbreaking new capability allows users to solve problems with non-convex quadratic constraints and objectives – enabling them to find globally optimal solutions to classic bilinear pooling and blending problems and continuous manufacturing problems.
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New Directions for Optimization
In this video, learn about the motivation for some of the recent features added to the Gurobi Optimizer as well as recent developments in the field and how they are influencing our thinking on potential future directions.
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Choosing a Math Programming Solver
Watch this webinar for tips on how to choose a mathematical programming solver to help you tackle your complex business problems.
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Mathematical Optimization and Machine Learning
Mathematical optimization and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that ML cannot. Machine learning makes predictions while MIP makes decisions. For Data Scientists to be effective, an understanding of MIP and when to use it is critical, as ML does not solve all problems effectively.
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Opportunities for Optimization in the Telecom Industry: Network Planning and Data Monetization (English)
Watch this webinar to learn about optimization in the telecom industry.
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Overview of Gurobi 9.0
Watch the video and learn about breakthrough new capabilities in Gurobi Optimizer, major new features for Gurobi Compute Server, and improved performance across LP, MIP, and MIQP problem types. You can also watch this webinar in German or in Chinese.
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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.
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Tech Talk – A Practical Tour Through Non-convex Optimization
Learn about non-convex optimization using hands-on code examples.
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