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Inside of a linear programming issue, a series of linear constraints makes a convex possible location of achievable values for all those variables. In the two-variable circumstance this region is in the shape of the convex straightforward polygon.

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John von Neumann The situation of solving a process of linear inequalities dates again at least so far as Fourier, who in 1827 revealed a method for fixing them,[4] and after whom the method of Fourier–Motzkin elimination is named.