This repository contains a MATLAB implementation of the Simplex Method for solving linear programming problems with 3 variables. The program is designed to maximize a given objective function subject ...

In this work, we extend the simplex algorithm of linear programming for finding a local minimum of a concave quadratic function subject to box constraints. In order to test the performance of the ...

This article is devoted to some results of research on improving the multiparameter multiextremal optimization algorithm in proposed author”s evolutionary algorithm version Simplex Evolution program.

This program implements the simplex algorithm to solve a linear program - Releases · Prasidh/Simplex-Algorithm-MATLAB ...

The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...

An application of the simplex method to sensitivity analysis of a linear program is also presented, along with an introduction to duality in linear programming. You do not have access to this resource ...

The Nelder-Mead simplex method for function minimization is a "direct" method requiring no derivatives. The objective function is evaluated at the vertices of a simplex, and movement is away from the ...

Article citations More>> Chankong, K., Intiyot, B. and Sinapiromsaran, K. (2014) Absolute Change Pivot Rule for the Simplex Algorithm. Proceedings of the International MultiConference of and Computer ...