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 ...

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

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

Topics include computational linear algebra, first and second order descent methods, convex sets and functions, basics of linear and semidefinite programming, optimization for statistical regression ...

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 ...

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.

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 ...

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 ...

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 ...

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