The simplex method is a widely used algorithm in Operations Research for solving linear programming (LP) problems. It's designed to find the optimal solution to linear programming problems by iteratively moving along the edges of the feasible region defined by the constraints toward the optimal vertex. The method was developed by George Dantzig in the 1940s and remains one of the foundational techniques for solving linear programming problems.

an approach to solving linear programming models by hand using slack variables, tableaus, and pivot variables as a means to finding the optimal solution of an optimization problem.