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Slack variables are released to transform inequality constraints into equations. They represent the distinction between the left and right sides in the constraint, helping to rework the issue into a normal kind which is easier to address.

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Output scheduling will allow the optimum realization of objective-primarily based selections to cut back stock and output fees and increase gains. Even so, This really is only possible if description pertinent constraints may be rightly discovered using linear programming.

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These 3 illustrations illustrate possible linear programming difficulties given that they have bounded feasible regions and finite answers.

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