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 ...

The simplex method for solving linear programming problems has several advantages over other methods, such as graphical methods, enumeration methods, or interior point methods.

The simplex method was developed by G. Dantzig (1947). It comprises two phases: phase 1 – initialization: find a feasible basic solution (or detect the impossibility: D R = ϕ); phase 2 – progression: ...

The properties of solutions of a linear programming problem are established and the simplex method for solving a linear programming problem is presented in detail. Throughout the paper, a simple ...

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 are the ...

The dual simplex method is an iterative algorithm that solves linear programming problems. It's similar to the standard simplex method, but the dual simplex method is used for problems with both ...

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 ...

Linear programming is one of the most widely applied solutions to optimization problems. This paper presents a privacy-preserving solution to linear programming for two parties when the cost, or ...