The simplex algorithm is a widely used mathematical method for solving linear programming problems, specifically those that seek to maximize or minimize a linear objective function subject to various constraints. It systematically moves along the edges of the feasible region defined by these constraints to find the optimal solution. Understanding its steps and how it handles both equality and inequality constraints is crucial for effective problem-solving in optimization.
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