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 ...

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 ...

In this paper, based on the rotary iteration transformation in the simplex method, an artificial variable return-to-zero (RZ) algorithm is proposed to decide whether some condition constraint in ...

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 ...

The aim of this paper is to present 0-1 mixed linear programs with a polynomial number of variables and constraints to solve some combinatorial optimization problems using commercial codes. When we ...

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 ...

In this paper we discuss about infeasibility diagnosis and infeasibility resolution, when the constraint method is used for solving multi objective linear programming problems. We propose an algorithm ...