The simplex algorithm for minimization problems is effective by converting the situation to some maximization challenge. This concept that each maximization trouble has a corresponding minimization difficulty is formalized with the von Neumann duality theory.
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A constraint can be an inequality that defines how the values from the variables in a dilemma are restricted. In order for linear programming techniques to operate, all constraints ought to be linear inequalities.
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The trouble is generally provided inside of a linear purpose that needs to be optimised issue to the set of various constraints. The major use of linear programming difficulties is in advising the administration to make the most economical & productive use on the scarce means.
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