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In combinatorial optimization, extension complexity refers to the smallest number of inequalities in any higher-dimensional linear description that projects onto a given polytope, tied to nonnegative rank. This meaning comes from Yannakakis (1991) in Journal of Computer and System Sciences.[1]
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