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The document provides a detailed tutorial on the Simplex Method, an iterative algorithm for solving linear programming problems with the goal of maximizing or minimizing a linear function under given constraints. It explains the process of incorporating slack variables, finding feasible solutions, and iterating to improve the objective function value, using both dictionary and tableau methods. The article concludes with key properties of linear programming and encourages further exploration of related tutor

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