The dual simplex method, unlike the standard simplex method, starts with an infeasible but optimal (or better) solution for the objective function in a linear programming problem. It then ...

This is an implementation of simplex's algorithm for linear programming maximization and minimization problems made by the baby programmer that I am. I would like y'all to test this code, help me ...

When solving a problem using the simplex method, it is possible to choose a basis: "artificial" or "given". When choosing a "given" basis, the user must manually select the variables that the program ...

In methods based on the simplex algorithm, it is not easy to obtain a primal basic feasible solution to the minimization linear programming with intuitionistic fuzzy variables problem with equality ...

Abstract The paper presents an approach for avoiding and minimizing the complementary pivots in a simplex based solution method for a quadratic programming problem. The linearization of the problem is ...

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 ...

A computational procedure is given for finding the minimum of a quadratic function of variables subject to linear inequality constraints. The procedure is analogous to the Simplex Method for linear ...

Article citations More>> P.-Q. Pan, “A Simplex-Like Method with Bisection for Linear Programming,” Optimization, Vol. 22, No. 5, 1991, pp. 717-743. has been cited by the following article: TITLE: ...

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 ...