Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour.

Mathematics of Operations Research publishes articles concerned with mathematical and computational foundations of operations research, including optimization, mathematical and dynamic programming, ...

Kanti Swarup, Linear Fractional Functionals Programming, Operations Research, Vol. 13, No. 6 (Nov. - Dec., 1965), pp. 1029-1036 ...

Roth, A. E., U. G. Rothblum, and J. H. Vande Vate. "Stable Matchings, Optimal Assignments, and Linear Programming." Mathematics of Operations Research 18, no. 4 ...

Marshall, Paul W. "Linear Programming: A Technique for Analyzing Resource Allocation Problems." Harvard Business School Background Note 171-322, January 1971. (Revised November 1975 ...

An introduction to a range of Operations Research techniques, covering: foundations of linear programming, including the simplex method and duality; integer programming; markov chains; queueing theory ...

Type of Research: Operations Research Motivation for Research: Large combinatorial optimization problems involve an exponentially growing decision space, where finding a good solution often becomes ...

APPM 4120/5120 Introduction to Operations Research Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and ...