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This paper presents a constraint programming approach to determine NHL playoff clinching scenarios with n-day lookahead, using tree search and preprocessing techniques.
The article discusses using Google's OR-Tools CP-SAT solver to optimize maintenance scheduling for cloud infrastructure at Akamai, addressing complex constraints like capacity and concurrency.
This is a digitized 1965 IBM document detailing the application of linear programming to ice cream blending optimization.
MIT Professor Dimitris Bertsimas received the 54th James R. Killian Faculty Achievement Award and delivered a lecture on how his work in operations research and AI has driven real-world improvements in logistics, healthcare, education, and agriculture. His robust optimization approaches have enabled practical benefits such as improving hospital patient throughput and optimizing Panama Canal vessel scheduling.