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Linear programming problems is usually converted into an augmented sort in an effort to utilize the popular kind of the simplex algorithm.

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The trouble of resolving a method of linear inequalities do my linear programming project dates back no less than as far as Fourier, who in 1827 posted a method for solving them,[1] and after whom the strategy of Fourier–Motzkin elimination is named.

ideal final result expected from the linear equation is lowest Price or maximum financial gain. Linear programming is accustomed to

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The area of intersection with the remedies in the inequalities would be the solution towards the process of inequalities, and that is the set of possible options.

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