Thomas Magnanti


Thomas Magnanti


Thomas Magnanti is an Institute Professor and a Professor of Operations Research at the MIT Sloan School of Management.

Magnanti is an excellent source on teaching and researching the theory and application of large-scale optimization systems, including communications systems, production planning and scheduling, transportation planning, facility location, logistics, and network design. He is the co-author of two textbooks, Applied Mathematical Programming (Addison-Wesley, 1977) and Network Flows: Theory, Algorithms, and Applications (Prentice Hall, 1993).

Magnanti holds a BS in chemical engineering from Syracuse University as well as an MS in statistics, an MS in mathematics, and a PhD in operations research from Stanford University.


Magnanti and Levi win Kuhn Award


"Scheduling with Testing."

Levi, Retsef, Thomas Magnanti, and Yaron Shaposhnik. Management Science. Forthcoming.

"Maintenance Scheduling for Modular Systems – New Models and Algorithms."

Levi, Retsef, Thomas Magnanti, Jack Muckstadt, Danny Segev and Eric Zarybnisky. Naval Research Logistics Vol. 61, No. 6 (2014): 472-488.

"Computing Fixed Points by Averaging."

Magnanti, Thomas and Georgia Perakis. In Transportation and Network Analysis– Current Trends, 181-198. New York, NY: Springer US, 2002.

"The Orthogonality Theorem and the Strong-f-Monotonicity Condition for Variational Inequality Algorithms."

Magnanti, Thomas and Georgia Perakis. SIAM Journal on Optimization Vol. 7, No. 1 (1997): 248-273.

"Averaging Schemes for Variational Inequalities and Systems of Equations."

Magnanti, Thomas and Georgia Perakis. Mathematics of Operations Research Vol. 22, No. 3 (1997): 568-587.

"​Industry and Universities: New Partners on the Endless Frontier."

Hanson, William, Thomas Magnanti, and Donald B. Rosenfield. In Reinventing the University, edited by Jillinda Kidwell, Sandra L. Johnson, New York, NY: Wiley, 1996.

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