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 Vol. 65, No. 2 (2019): 776-793.

"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 and Sandra L. Johnson, New York, NY: Wiley, 1996.

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