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.

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 ...

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.

[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.

This paper is an invited contribution to the 50th anniversary issue of the journal Operations Research, published by the Institute of Operations Research and Management Science (INFORMS). It describes ...

In 1991, linear programming was thought to be a mature field. From 1991 through 1998, linear programming performance improved dramatically.

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 ...

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 ...