Tamás Terlaky

Tamás Terlaky


George N. and Soteria Kledaras '87 Endowed Chair Professor
Department Chair


Ph.D., Eötvös University, Hungary

Research Area: 

Optimization: Theory, algorithms and engineering applications

Classes Taught: 

Mathematical Optimization
Interior Point Methods
Optimization methods and software


High-Performance Optimization
Optimization Models
Algorithms & Software
Supply Chain and Revenue Management
Dr. Tamás Terlaky joined the department in Summer 2008 as the George N. and Soteria Kledaras '87 Endowed Chair Professor, and Chair of the Department of Industrial and Systems Engineering. Dr. Terlaky is founding editor-in-chief of the journal, Optimization and Engineering and serving as associate editor of seven journals. He is a Fellow of the Fields Institute, Toronto, Canada and received the MITACS Mentorship Award for his distinguished graduate student supervisory record. Dr. Terlaky’s research interests include high-performance optimization methods, optimization models, algorithms and software, and solving optimization problems in engineering sciences.


T. Terlaky, I. Pólik. Interior point methods for nonlinear optimization. In: Gianni Di Pillo and Fabio Schoen, editors, CIME School on Nonlinear Optimization. Springer Lecture Notes in Mathematics, 2008.
C. Roos, T. Terlaky and J.-Ph. Vial: Interior Point Approach to Linear Optimization: Theory and Algorithms, John Wiley & Sons, New York, 1997 (second print 1998).
J. Peng, C. Roos and T. Terlaky Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms, Princeton University Press, Princeton, New Jessy, 2002.
T. Terlaky (editor): Interior Point Methods in Mathematical Programming, Kluwer Academic Publisher, Dordrecht, The Netherlands 1996.
C. Roos and T. Terlaky (Guest editors): Special issue of Applied Numerical Mathematics Vol 29(3),Elsevier. Dedicated to the HPOPT-I workshop held in Delft, 19-20 September 1996.
F. Potra, C. Roos and T. Terlaky (Guest editors): Optimization Methods and Software, A special issue on Interior Point Methods, Vol.11 & 12, Gordon and Breach, 1999.
J.B.G. Frenk, C. Roos, T. Terlaky and S. Zhang (editor): High Performance Optimization, Kluwer Academic Publisher, Dordrecht, The Netherlands 1999.
M.A. Goberna, T. Terlaky and M.I. Todorov: Sensitivity Analysis in Linear Semi--Infinite Programming Via Partitions. To appear in: Mathematics of Operations Research, 2009.
A. Deza, E. Nematollahi, and T. Terlaky: How Good are Interior Point Methods? Klee-Minty Cubes Tighten Iteration-Complexity Bounds. Mathematical Programming, 113, 1—14, 2008.
T. Craig, M. Sharpe, T. Terlaky, and Y. Zinchenko: Controlling the dose distribution with gEUD-type constraints within the convex IMRTP framework. Physics in Medicine and Biology, Vol. 53, 3231—3250, 2008.
Ch. Anand, R. Sotirov, T. Terlaky and Z. Zheng: Magnetic Resonance Tissue Density Quantification Using Optimal bSSFP Pulse-Sequence Design. Optimization and Engineering, 8 (2) (2007) 215–238, 2007.
A. Deza, E. Nematollahi,R. Peyghami, and T. Terlaky: The Central Path Visits All the Vertices of the Klee-Minty Cube. Optimization Methods and Software 21(5). 851—865, 2006.
E.D. Andersen, C. Roos and T. Terlaky: On Implementing a Primal--Dual Interior--Point Method for Conic Quadratic Optimization. Mathematical Programming Ser.B. 95(2). 249-277, 2003.
T. Koltai and T. Terlaky: The Difference between the Managerial and Mathematical Interpretation of Sensitivity Analysis Results in Linear Programming. International Journal on Production Economics 65(3). 257-274, 2000.
A.J. Quist, R. van Geemert, J.E. Hoogenboom, T. Illés, E. de Klerk, C. Roos and T. Terlaky: Application of Nonlinear Optimization to Reactor Core Fuel Reloading. Annals of Nuclear Energy 26. 423—448, 1997.
K. Fukuda and T. Terlaky: Linear Complementarity and Oriented Matroids. Japanese Journal of Operations Research. 35. 45—61, 1992. (Selected as ``The best OR paper of the year 1992'' by The Operations Research Society of Japan.)
T. Terlaky: A Convergent Criss--Cross Method, Mathemathische Operationsforschung und Statistics ser. Optimization. 16. 5. 683—690, 1985.