Addressing the importance of the algorithm design process, Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization problems.

In this note we use the concept of intersection cut, introduced by Balas for integer programming problems, to develop a cutting-plane algorithm for solving integer interval linear programming problems ...

Ron Shamir, Probabilistic Analysis in Linear Programming, Statistical Science, Vol. 8, No. 1, Report from the Committee on Applied and Theoretical Statistics of the National Research Council on ...

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 ...

[1] Recent contributions to linear semi-infinite optimization: an update. Annals of Operations Research (2018). [2] Recent advances in nonconvex semi-infinite programming: Applications and algorithms.

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.

Survey of operations research techniques. Linear programming, decision theory, stochastic processes, game theory. This course is not open to Industrial Engineering majors. May not be taken ...

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 ...

An introduction to the main methodologies in Operations Research and their theoretical foundations. Linear Optimisation: a basic introduction, discovering the solution to small problems by graphical ...

In the early 1950s, Dantzig started working for Rand Corp., where he played a major role in developing the new discipline of operations research using linear programming.