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it is a simple but complex method using iteration to find the best answer to the optimization problem.

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A mathematical algorithm used for solving linear programming problems by iteratively moving towards the optimal solution within a feasible region.

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It is a method for manually solving linear programming models employing pivot variables, slack variables, and tableaus in order to find the best answer to an optimization problem.




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Slack variables, tableaus, and pivot variables are used in the simplex method, a method for manually solving linear programming models, to discover the best answer to an optimization problem.

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The simplex method is a classic linear programming methodology for tackling optimization problems that generally involve a function and numerous constraints.

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