If you have ever solved a linear programming problem, you may have encountered the concept of dual variables. These are values that are associated with the constraints of the problem, and they ...

Linear and nonlinear programming are two types of optimization methods that can help you find the best solution to a problem involving decision variables, constraints, and an objective function.

This model is an example of a constraint optimization problem. Considering a constraint of an integer programming model where all the decision variables in the constraint are binary, the goal is to ...

Linear programming in Java. ... Variables, constraints, and linear expressions are available as Java objects to make model building as easy as possible. Decision variables as well as their bounds and ...

Discover a simple solution-assisted methodology in Linear Programming (LP) applications to detect active constraints with the most impact on non binding constraints. Save time and effort in large ...

ABSTRACT: We describe a new active-set, cutting-plane Constraint Optimal Selection Technique (COST) for solving general linear programming problems. We describe strategies to bound the initial problem ...

A method for solving linear programming models with Interval Type-2 fuzzy constraints. Juan Carlos Figueroa-GarcíaI, *; Germán Hernández II I Universidad Distrital Francisco José de Caldas Universidad ...

This letter proposes a multi-agent distributed solution for linear programming (LP) problems with time-invariant box constraints on the decision variables and possibly time-varying inequality ...

Recently, a matrix-type neural dynamical method for matrix-variable nonlinear optimization with box constraints was presented. This paper proposes two matrix-type neural dynamical optimization methods ...

The (linear) constraints ensure that the proposed diet meets requirements on, for example, nutrient content and palatability. If the model contains integer variables, it is called a mixed integer ...