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.

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. At ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

Lihong Cheng, Lei Feng, Zhiwu Li, Model abstraction for discrete-event systems by binary linear programming with applications to manufacturing systems, Science Progress (1933-), Vol. 104, No. 3 (2021) ...

Four classes of methods will be covered: Spatial discretization using meshes, particle methods, ray-tracing, and linear solvers. Each of these types of methods have different requirements and lead to ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints. This ...

The numerical success of the alternating direction method of multipliers (ADMM) inspires much attention in analyzing its theoretical convergence rate. While there are several results on the iterative ...

As the title suggests, I have a problem in which I need to formulate an LP model. I'm supposed to work in Excel and use the Solver Add-in feature.I've done several other problems already, but this ...