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 ...

Students must know basics of linear algebra (matrix multiplication, geometric interpretation of vectors), linear programming, and probability theory (expected value, conditional probability, ...

[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.

The students should have solid college-level knowledge of linear algebra, analysis, and probability, and good programming skills. Students who aspire to doctoral study in Operations Research but need ...

Operations research applies sophisticated statistical analysis and mathematical modeling to solve an array of business and organizational problems, as well as improve decision-making.

Loerch directs the military track of GMU’s operations research master’s degree program. As a U.S. Army-trained operations research analyst, Loerch served as a division chief at the Center for Army ...

To employ linear programming in production-planning problems in the chemical industry it is often necessary to make a linear model of plant which seems highly non-linear. An approach with some ...

The Journal of the Operational Research Society, Vol. 36, No. 2 (Feb., 1985), pp. 99-107 (9 pages) This paper indicates that in the current economic climate, linear programming could well be worth ...

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.