This repository contains a Python implementation of the Simplex algorithm for solving Linear Programming Problems (LPPs). The Simplex algorithm is an iterative method that optimizes a linear objective ...

Two existing methods for solving a class of fuzzy linear programming (FLP) problems involving symmetric trapezoidal fuzzy numbers without converting them to crisp linear programming problems are the ...

The revised-simplex-report is a user-friendly application that helps you solve linear programming problems using the Revised Simplex Method. This software provides clear explanations, worked examples, ...

Abstract: Linear programming(LP) is the term used for defining a wide range of optimization problems in which the objective function to be minimized or maximized is linear in the unknown variables and ...

Abstract: The aim of this paper is to introduce a formulation of linear programming problems involving intuitionistic fuzzy variables. Here, we will focus on duality and a simplex-based algorithm for ...

phase 2 – progression: move from one vertex to a neighbouring vertex to increase the objective function F (or detect a non-major objective function F). The terminology of the simplex method comes from ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...