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.

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 ...

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 ...

Output 3.7.1 shows the solution of the goal program, apparently as three linear program outputs. However, examination of the constraint summaries in the second and third problems show that the ...

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 ...

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 ...

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 ...

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 ...

G. L. Thompson, F. M. Tonge and S. Zionts, “Techniques for Removing Nonbinding Constraints and Extraneous Variables from Linear Programming Problems,” Management ...

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 ...