James Orlin

 

 


 

James Orlin specializes in network and combinatorial optimization. He has helped develop improved solution methodologies in airline scheduling, railroad scheduling, logistics, network design, telecommunications, inventory control, and marketing. Together with MIT Sloan colleague Thomas L. Magnanti and Ravindra K. Ahuja, he has written the award-winning text Network Flows: Theory, Algorithms, and Applications (1993).




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Sep 6th 2016

Learn how to use optimization methodologies and modeling approaches to effectively analyze data. Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization.

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