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: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

Linear programming, a method for optimizing a linear objective function subject to constraints, has seen significant advancements over the past century. From the Simplex algorithm in 1947 to the ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...

A method that contains either maximization or minimization of a quantity is called linear programming (LP). The goal of this research is to derive a mathematical model using Linear Programming and the ...

Big-M Technique Calculator using the Simplex Method in MATLAB. Produces a tableau for each step. The op_research package is a Python library for solving linear programming problems using the simplex ...

Abstract: This paper works on a heuristic algorithm ... D.C. programming and concave optimization over a polyhedron. Considering that the super-level sets of concave piecewise linear functions are ...