What is the Simplex Method?
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The Simplex Method is an iterative algorithm used to solve linear programming problems. It starts from a feasible corner point of the solution space and moves along the edges of the feasible region to find the optimal solution. It is particularly useful for problems with more than two decision variables.
An algorithm called the Simplex Method is used to solve linear programming issues by determining the optimal result—such as maximizing profit or minimizing costs—while keeping a set of limitations in mind. It operates by going from one corner point (vertex) to the next along the borders of a viable region (the area determined by the restrictions), always looking for a better option. The process keeps going until it finds the ideal answer, at which point it is impossible to get much better. Due to its effectiveness and capacity to tackle intricate and sizable problems, the Simplex Method is widely used.
The Simplex Method is an algorithm used in linear programming to find the optimal solution of a problem by iteratively moving along the edges of the feasible region defined by constraints.
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