The dual simplex method is a variation of the simplex method that can be used to solve linear programming problems when the initial solution is infeasible.

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 ...

This code was developed to solve Linear Programming problems by using Simplex or Simplex + Big M algorithm => the code will automatically detect what method to use.

The researchers showed that the simplex method using Tardos' basic algorithm is strongly polynomial for totally unimodular linear programming problems, if the problems are nondegenerate. These ...

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 the ...

Discover a novel approach, the primal-dual simplex algorithm, for solving fuzzy linear programming problems without converting them to crisp problems. Overcome limitations of existing methods.

Onal, H. (1993) A Modified Simplex Approach for Solving Bilevel Linear Programming Problems. European Journal of Operation Research, 67, 126-135.

This study proposes a novel technique for solving linear programming problems in a fully fuzzy environment. A modified version of the well-known dual simplex method is used for solving fuzzy linear ...