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It is straightforward to find a greatest e that maintains the domain constraints: it can be either the smallest distinction between an odd variable and 0, or even the smallest distinction between an excellent variable and 1. Now, We've just one much less fractional variable, so k(x) decreases by one. The objective benefit stays the exact same, because otherwise we could improve it by deciding upon e to be constructive or adverse, in contradiction to the idea that it's maximal.
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This is due to the constraint matrix with the fractional LP is totally unimodular – it satisfies the four situations of Hoffman and get more Gale.
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