The Shadow Price of a constraint in Linear Programming indicates how much the value of an objective (optimal) function changes due to a marginal variation in the right-hand side of a constraint. It is assumed that the rest of the model’s parameters remain constant. It should be noted beforehand that the Shadow Price can be […]

# Archivo de Etiquetas (Tags) | feasible solutions

## Linear Programming (Graphical Method)

The Graphical Method (graphic solving) is an excellent alternative for the representation and solving of Linear Programming models that have two decision variables. For this purpose there are computational tools that assist in applying the graphical model, like TORA, IORTutorial and Geogebra. Within this context we will present a series of Linear Programming exercises that have been […]

## 10 Things You need to know about Simplex Method

The Simplex Method was developed by George Dantzing in 1947. It is without a doubt the most popular algorithm when it comes to solving a Linear Programming (LP) model, and it plays a major role in the introduction to Operations Research (OR). Today we’re presenting a summary of 10 main concepts about the use and […]

## Fundamental Theorem of Linear Programming and its Properties

In this following article we will address properties set by the Fundamental Theorem of Linear Programming through a conceptual discussion and practical and simple examples. These properties are essential when taking into consideration algorithmic resolutions of this kind of mathematical optimization models, among them is what we call the Simplex Method. Every Linear Programming (LP) […]

## How to detect that a Linear Programming problem is unbounded with the Simplex Method

The Simplex Method is an algorithm that allows us to solve Linear Programming models that sometimes helps us identify exceptional cases with infinite optimal solutions or that the problem is unbounded. In the implementation of the Simplex Method, an unbounded problem is encountered when in any iteration there are any non-basic variables with a negative reduced […]