WEBINAR / EVENT
Holiday Tech Talk - Prevent the Grinch from Stealing your Optimization Projects
In this Holiday Tech Talk, we will dive into some very unexpected ways of how Gurobi or applications that called it behaved, be it due to a mistake in the code, creative use of the solver by our users, numerical issues, or something else.
December 13th & 15th 2022
WEBINAR / EVENT
Holiday Tech Talk - Prevent the Grinch from Stealing your Optimization Projects
In this Holiday Tech Talk, we will dive into some very unexpected ways of how Gurobi or applications that called it behaved, be it due to a mistake in the code, creative use of the solver by our users, numerical issues, or something else.
December 13th & 15th 2022
WEBINAR / EVENT
Holiday Tech Talk - Prevent the Grinch from Stealing your Optimization Projects
In this Holiday Tech Talk, we will dive into some very unexpected ways of how Gurobi or applications that called it behaved, be it due to a mistake in the code, creative use of the solver by our users, numerical issues, or something else.
December 13th & 15th 2022
Event Recap
Developing optimization models and making them run successfully frequently depends on the ability to efficiently resolve a handful of potentially time-consuming issues. In this Holiday Tech Talk, we will dive into some very unexpected ways of how Gurobi or applications that called it behaved, be it due to a mistake in the code, creative use of the solver by our users, numerical issues, or something else. We will investigate these examples of Grinch-like behavior that attempt to sabotage the timely completion of the optimization task and examine how they were efficiently identified and solved.
Holiday Tech Talk Presentation- Prevent the Grinch from Stealing Your Optimization Projects
If you would like more information, check out this list of additional resources:
A great reference for unusual behavior in math programming: Greenberg, H.J. (2010) Myths and Counterexamples in Mathematical Programming
Paper on tricks to solve difficult MIPs: Klotz, E.; Newman, A.M.; Practical guidelines for solving difficult mixed integer linear programs. Surveys in Operations Research and Management Science, 18 (1-2), 18-32.
Tech Talks about model strengthening:
Part 1: https://www.youtube.com/watch?v=e4h4ZUlUpR8
Part 2: https://www.youtube.com/watch?v=YxqykMu083k
Event Recap
Developing optimization models and making them run successfully frequently depends on the ability to efficiently resolve a handful of potentially time-consuming issues. In this Holiday Tech Talk, we will dive into some very unexpected ways of how Gurobi or applications that called it behaved, be it due to a mistake in the code, creative use of the solver by our users, numerical issues, or something else. We will investigate these examples of Grinch-like behavior that attempt to sabotage the timely completion of the optimization task and examine how they were efficiently identified and solved.
Holiday Tech Talk Presentation- Prevent the Grinch from Stealing Your Optimization Projects
If you would like more information, check out this list of additional resources:
A great reference for unusual behavior in math programming: Greenberg, H.J. (2010) Myths and Counterexamples in Mathematical Programming
Paper on tricks to solve difficult MIPs: Klotz, E.; Newman, A.M.; Practical guidelines for solving difficult mixed integer linear programs. Surveys in Operations Research and Management Science, 18 (1-2), 18-32.
Tech Talks about model strengthening:
Part 1: https://www.youtube.com/watch?v=e4h4ZUlUpR8
Part 2: https://www.youtube.com/watch?v=YxqykMu083k
Event Recap
Developing optimization models and making them run successfully frequently depends on the ability to efficiently resolve a handful of potentially time-consuming issues. In this Holiday Tech Talk, we will dive into some very unexpected ways of how Gurobi or applications that called it behaved, be it due to a mistake in the code, creative use of the solver by our users, numerical issues, or something else. We will investigate these examples of Grinch-like behavior that attempt to sabotage the timely completion of the optimization task and examine how they were efficiently identified and solved.
Holiday Tech Talk Presentation- Prevent the Grinch from Stealing Your Optimization Projects
If you would like more information, check out this list of additional resources:
A great reference for unusual behavior in math programming: Greenberg, H.J. (2010) Myths and Counterexamples in Mathematical Programming
Paper on tricks to solve difficult MIPs: Klotz, E.; Newman, A.M.; Practical guidelines for solving difficult mixed integer linear programs. Surveys in Operations Research and Management Science, 18 (1-2), 18-32.
Tech Talks about model strengthening:
Part 1: https://www.youtube.com/watch?v=e4h4ZUlUpR8
Part 2: https://www.youtube.com/watch?v=YxqykMu083k
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
