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.

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

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.

We review the early history of linear programming with respect to the solution of linear equations, computer developments, and its origins within the federal government. With over 12,500 members from ...

Abstract: The use of KORBX, a linear problem solver based on Karmarkar's algorithm, to solve military airlift problems is described. Such problems involve so many variables and constraints that using ...

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 ...

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.

The scientific temper of operations research creates a near-ideal competitive landscape. The progress should be attributed to a combination of openness and scientific skepticism.