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 ...

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 ...

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: The existence of strongly polynomial algorithm for linear programming (LP) has been widely sought after for decades. Recently, a new approach called Gravity Sliding algorithm [1] has emerged ...

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 ...

[8] Mehar Method to Find the Fuzzy Optimal Solution of Bounded Fully Fuzzy Linear Programs with Symmetric Trapezoidal Fuzzy Numbers ...

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 ...