Linear programming is a technique for finding the optimal value of an objective function subject to a set of constraints. The dual simplex method is a variation of the simplex method that can be ...

Learn how to apply, practice, and enhance the graphical method of linear programming with tips and tricks for instructors and students.

This README introduces the Simplex Method, a popular algorithm for solving linear programming problems in R. Linear programming optimizes an objective function, such as maximizing or minimizing a ...

About This application solves linear programming problems using various methods such as the Graphical Method, Dantzig Simplex Method, and Bland's Simplex Method, implemented in Python.

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 these ...

It is known that the simplex method requires an exponential number of iterations for some special linear programming instances. Hence the method is neither polynomial nor a strongly-polynomial ...

Examples were found on which simplex ran in exponential time. Eventually, polynomial-time algorithms for linear programming were found, but the simplex method continued to be used — and in many ...

Discover an efficient active-set approach for nonnegative and general linear programming. Our method adds constraints iteratively, resulting in faster computation compared to previous algorithms.

The linear semidefinite programming problem is considered. The primal and dual simplex-like algorithms are proposed for its solution. Both algorithms are generalizations of well-known simplex methods ...

Abstract 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 ...