Linear programming aims to maximize or minimize a linear function within the feasible region where all constraints are satisfied.
Feasible region in linear programming is the area where all constraints are satisfied, forming a convex polyhedron. The objective is to maximize or minimize a linear function within this region. Linear programming's solutions are at the boundaries of the permissible flux space, following linear and non-negativity constraints.
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